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Data Manipulation Final Answer Mma2959
1. What is the mean number of years of education? The arithmetic mean “is the sum of all of the data points divided by t ...
Data Manipulation Final Answer Mma2959
1. What is the mean number of years of education? The arithmetic mean “is the sum of all of the data points divided by the number of data points.”
9 pages
20180216110443homework2
1. A clothing company makes coats and slacks. The two resources required are wool cloth and labor. The company has 200 squ ...
20180216110443homework2
1. A clothing company makes coats and slacks. The two resources required are wool cloth and labor. The company has 200 square yards of wool and 300 ...
California State University Northridge Statistics Factorial ANOVA Questions
Question 1 2 ptsMonika wants to measure the amount of money that different graduate school students spend on fast food ( ...
California State University Northridge Statistics Factorial ANOVA Questions
Question 1 2 ptsMonika wants to measure the amount of money that different graduate school students spend on fast food (measured in dollars). She selects 20 random graduate students at CSUN, 20 random graduate students at UCLA, and 20 random graduate students from USC. She then measures the total amount of money each student spends on fast food at the end of one week. She wants to see (overall) if the amount of money spent by students is significantly different across the different schools. Which type of analysis is appropriate to test for this?Group of answer choicesFactorial ANOVAOne-way ANOVATukey HSD testScheffe adjustmentQuestion 2 2 ptsJohn conducts a one-way ANOVA to compare 4 different groups (using an a = 0.05) and finds that they are significantly different from each other. He is interested in seeing which groups are significantly different from each other, so he conducts a Tukey HSD post-hoc test afterwards (using a = 0.05). However, he wants to make sure that his total Type I error for the one-way ANOVA and the post-hoc test is only 5% (not 10%). Using a Bonferroni adjustment, what would his new alpha level be?Group of answer choices0.010.01250.0250.017Question 3 2 ptsYou design a study to be a 2 x 3 Factorial ANOVA. Choose the correct amount of independent variables and levels in each independent variableGroup of answer choices2 independent variables, 6 levels in the 1st independent variable, 6 levels in the 2nd independent variable3 independent variables, 2 levels in the 1st independent variable, 2 levels in the 2nd independent variable2 independent variables, 2 levels in the 1st independent variable, 3 levels in the 2nd independent variable3 independent variables, 3 levels in the 1st independent variable, 3 levels in the 2nd independent variableQuestion 4 2 ptsIn a one-way ANOVA, the Within Groups Error we calculate is based on the difference of each individual's DV score from their group's mean. Group of answer choicesTrueFalseQuestion 5 2 ptsWhen you only have two different categorical groups in your IV, performing a dependent samples t-test and a one-way ANOVA will result in the exact same p-value.Group of answer choicesTrueFalseQuestion 6 4 ptsYou run four different one-way ANOVAs. You would like to reduce your Type I error (because after these 4 tests, your Type I error chance is ~20%)! Based on the number of tests you ran, you determine that you need to lower your alpha level to 0.0125 for each ANOVA. If each ANOVA has 3 groups in it (a = 3) and each group has 16 participants (s = 16), what is your new critical F value with this lower alpha level?(Round your answer to two decimal places)Question 7 4 ptsAfter conducting a one-way ANOVA, you find that there are significant differences across four different groups. Each group has an equal number of people in it, so you decide to follow this one-way ANOVA with a Scheffe adjustment to see which of these groups are significantly different from each other. You calculate the final Scheffe value to be 3.256. Based on the means of each group (below), identify ALL of the following groups that are significantly different from each other...Group 1: 5.248 Group 2: 7.589 Group 3: 8.562 Group 4: 3.123Group of answer choicesGroup 2 vs. Group 4 Group 3 vs. Group 4Group 1 vs. Group 3 Group 2 vs. Group 4 Group 3 vs. Group 4Group 1 vs. Group 2 Group 2 vs. Group 3 Group 1 vs. Group 4Group 1 vs. Group 3Group 2 vs. Group 3Question 8 2 ptsTo do a 2x2 factorial ANOVA by hand, you need to have way too much time on your hands, a lot of formulas written down, and a lot of practice (especially for exam 3). (Choose answer "Yes" below -- it is the correct answer)Group of answer choicesNoMaybeYesI don't know!Question 9 6 ptsGiven the data for a one-way ANOVA (below), calculate the Sums of Squares Between Groups. Round your answer to two decimal points. ParticipantGroup 1Group 2Group 3S120 22 18 S212 20 40 S316 19 10 S416 24 20 (Hint: start by finding the means for the groups...)Question 10 4 ptsThe following Summary Table is incomplete. For this one-way ANOVA, find the missing F value. Source Sums of Squares Degrees of Freedom Mean Square F Between Groups 420 2 Within Groups Total 1764 23 Group of answer choices2104.310.302.733.28Question 11 4 ptsGiven the following summary table for a one-way ANOVA, calculate an Omega Squared effect size estimate:Source Sums of Squares Degrees of Freedom Mean Square F Between Groups 12.56 4 3.14 1.584Within Groups 188.29 95 1.982 Total 200.85 99 Group of answer choices0.08220.04510.03550.0228Question 12 2 ptsIf you have a Factorial ANOVA design with two independent variables, you must test to see if your first IV is significant, if your 2nd IV is significant, and whether an interaction of the two IV's is significant. Group of answer choicesTrueFalseQuestion 13 2 ptsWhich of the following is an example of a simple effect analysis in a Factorial ANOVA?Group of answer choicesThere are significant differences across all groups of the 1st IV.There are significant differences across all levels of the 1st IV, but only for one level of the 2nd IV,There are significant differences across all combinations of groups from both IV1 and IV2.In the 1st IV, group 1 is significantly different than group 2, but group 1 is not significantly different than group 3.Question 14 4 ptsCalculate a Tukey HSD value for a one-way ANOVA (based on the following information)...qT = 4.201 MS (within) = 21.88 n = 15Group of answer choices6.1286.86576.115.5355.07Question 15 2 ptsGiven the following group means from a 2 x 2 Factorial ANOVA: Variable A Group 1 Group 2
Variable B Group 1 20 40Group 2 20 40Which variables (if any) show a main effect?Group of answer choicesThere is a main effect of both Variable A and Variable B.There is no main effect for either Variable A or Variable B.There is a main effect of Variable B only.There is a main effect of Variable A only.Question 16 2 ptsIf you have designed a research study with 1 categorical IV (which is split into three separate groups) and 1 ratio DV, you should use a one-way ANOVA to determine if there are any significant differences across all of the groups. Group of answer choicesTrueFalseQuestion 17 2 ptsIn a one-way ANOVA, the three main factors that influence Within Group error are:1. How close the group means are to each other2. How spread out the variances of the groups are3. Whether your IV is a categorical vs. ordinal variableGroup of answer choicesTrueFalseQuestion 18 2 ptsPost-hoc tests are conducted ...Group of answer choicesAfter a one-way ANOVA, to see if the overall one-way ANOVA was significant or not.After a one-way ANOVA, to see which groups are significantly different from each other.Before a one-way ANOVA is conducted, to see which groups are significantly different from each other firstWhen we want to see how influential the IV is in changing the DV.
SNHU Median Housing Price Prediction Model for DM Pan Real Estate Company
OverviewRecall that samples are used to generate a statistic, which businesses use to estimate the population parameter. Y ...
SNHU Median Housing Price Prediction Model for DM Pan Real Estate Company
OverviewRecall that samples are used to generate a statistic, which businesses use to estimate the population parameter. You have learned how to take samples from populations and use them to produce statistics. For two quantitative variables, businesses can use scatterplots and the correlation coefficient to explore a potential linear relationship. Furthermore, they can quantify the relationship in a regression equation.PromptThis assignment picks up where the Module Two assignment left off and will use components of that assignment as a foundation.You have submitted your initial analysis to the sales team at D.M. Pan Real Estate Company. You will continue your analysis of the provided Real Estate County Data spreadsheet using your selected region to complete your analysis. You may refer back to the initial report you developed in the Module Two Assignment Template to continue the work. This document and the National Statistics and Graphs spreadsheet will support your work on the assignment.Note: In the report you prepare for the sales team, the dependent, or response, variable (y) should be the median listing price and the independent, or predictor, variable (x) should be the median square feet.Using the Module Three Assignment Template, specifically address the following:Regression Equation: Provide the regression equation for the line of best fit using the scatterplot from the Module Two assignment.Determine r: Determine r and what it means. (What is the relationship between the variables?)Determine the strength of the correlation (weak, moderate, or strong).Discuss how you determine the direction of the association between the two variables.Is there a positive or negative association?What do you see as the direction of the correlation?Examine the Slope and Intercepts: Examine the slope b1{"version":"1.1","math":""} and intercept b0{"version":"1.1","math":""}.Draw conclusions from the slope and intercept in the context of this problem.Does the intercept make sense based on your observation of the line of best fit?Determine the value of the land only.Note: You can assume, when the square footage of the house is zero, that the price is the value of just the land. This happens when x=0, which is the y-intercept.Determine the R-squared Coefficient: Determine the R-squared value.Discuss what R-squared means in the context of this analysis.Conclusions: Reflect on the Relationship: Reflect on the relationship between square feet and sales price by answering the following questions:Is the square footage for homes in your selected region different than for homes overall in the United States?For every 100 square feet, how much does the price go up (i.e., can you use slope to help identify price changes)?Use the regression equation to estimate how much you would list your house for if it was 1,200 square feet.What square footage range would the graph be best used for?
IRP project
1 Draft IRPSummary:In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and ...
IRP project
1 Draft IRPSummary:In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and Excel as needed to analyze real-world data.In the first assignment (IRP Research Question and Data Set), you identified the data set you wanted to use, developed a research question, and identified a statistical question that could be answered analytically.In this assignment, you will create and submit a business memo (template attached) that clearly communicates your analysis of the data set you identified in the previous assignment. When you submit this draft of your IRP, you will get feedback from your classmates and your instructor. You should use this feedback to improve your IRP.In later assignments (IRP Memorandum, IRP Presentation, Presentation Questions Reply), you will submit the final version of your IRP, create and submit a PowerPoint presentation that summarizes your IRP, present your analysis via a recorded video presentation, and answer questions about your presentation.AttachmentsIRP Template 2018.docxIRP Draft (2)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeUse of software tools10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsThis criterion is linked to a Learning OutcomeData Display15.0 ptsGood12.0 ptsFair0.0 ptsInadequate15.0 ptsThis criterion is linked to a Learning OutcomeAnalysis Procedure25.0 ptsGood20.0 ptsFair0.0 ptsInadequate25.0 ptsThis criterion is linked to a Learning OutcomeData Analysis Conclusion20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeRecommended Actions20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeDecision Approach10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsTotal Points: 100.02 IRP PresentationUpload your IRP PowerPoint presentation to this assignment.You only have four minutes, so be concise and careful with your language.Use the PowerPoint Narration tool for your slides, even if you present face to face, it is good practice.Attachments: IRP Presentation TemplateIS 3310 Presentation Rubric Fall 2018 v2CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeContentInformation on slides reflects understanding and effective summarization. Information has not simply been copied and pasted from another IRP memo. Information is presented in logical sequence/structure.60.0to >35.0 ptsGoodAll essential elements needed to explain the analyiss and decision are present.35.0to >10.0 ptsAdequateMissing an essential element that explains the analysis and recommendation.10.0to >0 ptsInadequateTwo or more essential elements needed to understand the analysis are missing.60.0ptsThis criterion is linked to a Learning OutcomeDesignEasy to read, good color choices, no eye charts. Appropriate use of charts, graphs, and images to effectively communicate to the audience.15.0to >13.0 ptsGoodGreat design, color choice. Appropriate charts, graphs, tables, etc. are used in the presentation to promote the narrative.13.0to >10.0ptsAdequateSome charts, graphs, tables, etc. are used in the presentation to promote the narrative.10.0to >0 ptsInadequatePoor use of images, tables, etc. to explain the analysis and recommendation.15.0ptsThis criterion is linked to a Learning OutcomeUse of language (Grammar and Word Choice)Presentation is free of spelling and grammatical errors10.0 ptsGoodNo noticeable errors apparent in the presentation.10.0to >0 ptsInadequateOne ore more grammar, spelling, or obvious factual errors that a good proofreading of the presentation should have caught.10.0ptsThis criterion is linked to a Learning OutcomePresentationPresenter spoke clearly and slowly enough to be heard by the audience. Presenter effectively communicated their recommendation based on their analysis.15.0 ptsVery good.Clear, well spoken, not rushed. Presenation was organized logically, and effectively communicated the presenter's recommendation.10.0 ptsAveragePresenation was understandable, but was rushed and not logically arranged.5.0 ptsCould be betterThe speaker was hard to understand, rushed through the presentation, are had annoying habits that made following the15.0pts3 IRP MemorandumIn this Independent Research Project (IRP), students provide a business decision recommendation using SAS primarily and Excel as needed to obtain real world data. The student will create and submit a business report that clearly communicates a recommendation based on their analysis of the data set that includes an analysis of different courses of action using weighted factors. The students will also create a Power Point presentation that summarizes their IRP and present their analysis live, via video-teleconference or as a recorded video presentation. The student will also answer questions about their presentation.DELIVERABLE:ATTACH:IRP MEMORANDUM TEMPLATEIRP Memo Final (3)IRP Memo Final (3)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeSalutationIdentify the audience for this IRP3.0 ptsGoodDate, From, To lines correct.1.0 ptsFairOne or more items incorrect.0.0 ptsInadequateTwo or more items incorrect.3.0 ptsThis criterion is linked to a Learning OutcomeSubject LineShould relate to the topic, be interesting.3.0 ptsGoodSubject line is relevant and informative.1.0 ptsFairSubject line is not relevant to the IRP.0.0 ptsInadequateSubject line does is not informative.3.0 ptsThis criterion is linked to a Learning OutcomeIntroductionSummary of the whole IRP. You may not be able to write this portion until you have finished the rest of the paper.26.0 ptsGoodParagraph 1: Summary of IRP. Paragraph 2: Discussion of tools and data. Paragraph 3: Summary of findings, analysis conclusion, and recommendation.16.0 ptsFairMissing one of the introduction paragraphs, or not well written.5.0 ptsInadequateMissing two or more of the relevant parts of the introduction, or not written well.26.0 ptsThis criterion is linked to a Learning OutcomeIssue IdentificationRequires critical thinking and creative thinking.12.0 ptsGoodClearly discussed the problem that the analysis is investigating. Clearly identified a primary issue.10.0 ptsFairDiscussed the primary issue that is being investigated somewhat, but not clearly identify the problem.5.0 ptsInadequateDiscussed a symptom of the problem only.12.0 ptsThis criterion is linked to a Learning OutcomeIssue AnalysisHow are you going to investigate your problem with this data?12.0 ptsGoodClearly discussed analysis plan (specifically mentions ANOVA, Linear Regression, or other analysis method). Clearly states research question in plain language. Correctly states statistical question that matches research question (null and alternative hypotheses).7.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more of the elements of this section.12.0 ptsThis criterion is linked to a Learning OutcomeDataWhere did the data come from? What did you do to prepare it for analysis?9.0 ptsGoodClearly discussed data: 1) Source 2) Any data cleansing required (treatment of outliers?) 3) Appropriate descriptive statistics table included.6.0 ptsFairMissing one of the required elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeAnalysis9.0 ptsFull MarksClear discussion of analysis: 1) Identify variables (independent, dependent, type) 2) Relevant charts and tables 3) Discussion references any charts, tables, values (pvalue, etc.) needed to reach conclusion.6.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeConclusion9.0 ptsFull MarksClearly discussed analysis conclusion: 1) Analysis results (significant, not significant) 2) Hypothesis conclusion (accept, reject) 3) Impact of your conclusion as it relates to the problem you identified in the "Issue Identification" section.6.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeCOA'sCourse of Action Development8.0 ptsFull MarksStudent developed three or more courses of action (COA's) to the problem based on a better understanding of the problem obtained by their analysis. COA could optimize ROI, optimize time, optimize, optimize impact on people, "status quo", etc.6.0 ptsFairStudent developed two or more possible solutions.2.0 ptsInadequateStudent did not develop any possible solutions to the problem, or it was not clear that they understood how to think critically about solutions to the problem.8.0 pts
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3 pages
Data Manipulation Final Answer Mma2959
1. What is the mean number of years of education? The arithmetic mean “is the sum of all of the data points divided by t ...
Data Manipulation Final Answer Mma2959
1. What is the mean number of years of education? The arithmetic mean “is the sum of all of the data points divided by the number of data points.”
9 pages
20180216110443homework2
1. A clothing company makes coats and slacks. The two resources required are wool cloth and labor. The company has 200 squ ...
20180216110443homework2
1. A clothing company makes coats and slacks. The two resources required are wool cloth and labor. The company has 200 square yards of wool and 300 ...
California State University Northridge Statistics Factorial ANOVA Questions
Question 1 2 ptsMonika wants to measure the amount of money that different graduate school students spend on fast food ( ...
California State University Northridge Statistics Factorial ANOVA Questions
Question 1 2 ptsMonika wants to measure the amount of money that different graduate school students spend on fast food (measured in dollars). She selects 20 random graduate students at CSUN, 20 random graduate students at UCLA, and 20 random graduate students from USC. She then measures the total amount of money each student spends on fast food at the end of one week. She wants to see (overall) if the amount of money spent by students is significantly different across the different schools. Which type of analysis is appropriate to test for this?Group of answer choicesFactorial ANOVAOne-way ANOVATukey HSD testScheffe adjustmentQuestion 2 2 ptsJohn conducts a one-way ANOVA to compare 4 different groups (using an a = 0.05) and finds that they are significantly different from each other. He is interested in seeing which groups are significantly different from each other, so he conducts a Tukey HSD post-hoc test afterwards (using a = 0.05). However, he wants to make sure that his total Type I error for the one-way ANOVA and the post-hoc test is only 5% (not 10%). Using a Bonferroni adjustment, what would his new alpha level be?Group of answer choices0.010.01250.0250.017Question 3 2 ptsYou design a study to be a 2 x 3 Factorial ANOVA. Choose the correct amount of independent variables and levels in each independent variableGroup of answer choices2 independent variables, 6 levels in the 1st independent variable, 6 levels in the 2nd independent variable3 independent variables, 2 levels in the 1st independent variable, 2 levels in the 2nd independent variable2 independent variables, 2 levels in the 1st independent variable, 3 levels in the 2nd independent variable3 independent variables, 3 levels in the 1st independent variable, 3 levels in the 2nd independent variableQuestion 4 2 ptsIn a one-way ANOVA, the Within Groups Error we calculate is based on the difference of each individual's DV score from their group's mean. Group of answer choicesTrueFalseQuestion 5 2 ptsWhen you only have two different categorical groups in your IV, performing a dependent samples t-test and a one-way ANOVA will result in the exact same p-value.Group of answer choicesTrueFalseQuestion 6 4 ptsYou run four different one-way ANOVAs. You would like to reduce your Type I error (because after these 4 tests, your Type I error chance is ~20%)! Based on the number of tests you ran, you determine that you need to lower your alpha level to 0.0125 for each ANOVA. If each ANOVA has 3 groups in it (a = 3) and each group has 16 participants (s = 16), what is your new critical F value with this lower alpha level?(Round your answer to two decimal places)Question 7 4 ptsAfter conducting a one-way ANOVA, you find that there are significant differences across four different groups. Each group has an equal number of people in it, so you decide to follow this one-way ANOVA with a Scheffe adjustment to see which of these groups are significantly different from each other. You calculate the final Scheffe value to be 3.256. Based on the means of each group (below), identify ALL of the following groups that are significantly different from each other...Group 1: 5.248 Group 2: 7.589 Group 3: 8.562 Group 4: 3.123Group of answer choicesGroup 2 vs. Group 4 Group 3 vs. Group 4Group 1 vs. Group 3 Group 2 vs. Group 4 Group 3 vs. Group 4Group 1 vs. Group 2 Group 2 vs. Group 3 Group 1 vs. Group 4Group 1 vs. Group 3Group 2 vs. Group 3Question 8 2 ptsTo do a 2x2 factorial ANOVA by hand, you need to have way too much time on your hands, a lot of formulas written down, and a lot of practice (especially for exam 3). (Choose answer "Yes" below -- it is the correct answer)Group of answer choicesNoMaybeYesI don't know!Question 9 6 ptsGiven the data for a one-way ANOVA (below), calculate the Sums of Squares Between Groups. Round your answer to two decimal points. ParticipantGroup 1Group 2Group 3S120 22 18 S212 20 40 S316 19 10 S416 24 20 (Hint: start by finding the means for the groups...)Question 10 4 ptsThe following Summary Table is incomplete. For this one-way ANOVA, find the missing F value. Source Sums of Squares Degrees of Freedom Mean Square F Between Groups 420 2 Within Groups Total 1764 23 Group of answer choices2104.310.302.733.28Question 11 4 ptsGiven the following summary table for a one-way ANOVA, calculate an Omega Squared effect size estimate:Source Sums of Squares Degrees of Freedom Mean Square F Between Groups 12.56 4 3.14 1.584Within Groups 188.29 95 1.982 Total 200.85 99 Group of answer choices0.08220.04510.03550.0228Question 12 2 ptsIf you have a Factorial ANOVA design with two independent variables, you must test to see if your first IV is significant, if your 2nd IV is significant, and whether an interaction of the two IV's is significant. Group of answer choicesTrueFalseQuestion 13 2 ptsWhich of the following is an example of a simple effect analysis in a Factorial ANOVA?Group of answer choicesThere are significant differences across all groups of the 1st IV.There are significant differences across all levels of the 1st IV, but only for one level of the 2nd IV,There are significant differences across all combinations of groups from both IV1 and IV2.In the 1st IV, group 1 is significantly different than group 2, but group 1 is not significantly different than group 3.Question 14 4 ptsCalculate a Tukey HSD value for a one-way ANOVA (based on the following information)...qT = 4.201 MS (within) = 21.88 n = 15Group of answer choices6.1286.86576.115.5355.07Question 15 2 ptsGiven the following group means from a 2 x 2 Factorial ANOVA: Variable A Group 1 Group 2
Variable B Group 1 20 40Group 2 20 40Which variables (if any) show a main effect?Group of answer choicesThere is a main effect of both Variable A and Variable B.There is no main effect for either Variable A or Variable B.There is a main effect of Variable B only.There is a main effect of Variable A only.Question 16 2 ptsIf you have designed a research study with 1 categorical IV (which is split into three separate groups) and 1 ratio DV, you should use a one-way ANOVA to determine if there are any significant differences across all of the groups. Group of answer choicesTrueFalseQuestion 17 2 ptsIn a one-way ANOVA, the three main factors that influence Within Group error are:1. How close the group means are to each other2. How spread out the variances of the groups are3. Whether your IV is a categorical vs. ordinal variableGroup of answer choicesTrueFalseQuestion 18 2 ptsPost-hoc tests are conducted ...Group of answer choicesAfter a one-way ANOVA, to see if the overall one-way ANOVA was significant or not.After a one-way ANOVA, to see which groups are significantly different from each other.Before a one-way ANOVA is conducted, to see which groups are significantly different from each other firstWhen we want to see how influential the IV is in changing the DV.
SNHU Median Housing Price Prediction Model for DM Pan Real Estate Company
OverviewRecall that samples are used to generate a statistic, which businesses use to estimate the population parameter. Y ...
SNHU Median Housing Price Prediction Model for DM Pan Real Estate Company
OverviewRecall that samples are used to generate a statistic, which businesses use to estimate the population parameter. You have learned how to take samples from populations and use them to produce statistics. For two quantitative variables, businesses can use scatterplots and the correlation coefficient to explore a potential linear relationship. Furthermore, they can quantify the relationship in a regression equation.PromptThis assignment picks up where the Module Two assignment left off and will use components of that assignment as a foundation.You have submitted your initial analysis to the sales team at D.M. Pan Real Estate Company. You will continue your analysis of the provided Real Estate County Data spreadsheet using your selected region to complete your analysis. You may refer back to the initial report you developed in the Module Two Assignment Template to continue the work. This document and the National Statistics and Graphs spreadsheet will support your work on the assignment.Note: In the report you prepare for the sales team, the dependent, or response, variable (y) should be the median listing price and the independent, or predictor, variable (x) should be the median square feet.Using the Module Three Assignment Template, specifically address the following:Regression Equation: Provide the regression equation for the line of best fit using the scatterplot from the Module Two assignment.Determine r: Determine r and what it means. (What is the relationship between the variables?)Determine the strength of the correlation (weak, moderate, or strong).Discuss how you determine the direction of the association between the two variables.Is there a positive or negative association?What do you see as the direction of the correlation?Examine the Slope and Intercepts: Examine the slope b1{"version":"1.1","math":""} and intercept b0{"version":"1.1","math":""}.Draw conclusions from the slope and intercept in the context of this problem.Does the intercept make sense based on your observation of the line of best fit?Determine the value of the land only.Note: You can assume, when the square footage of the house is zero, that the price is the value of just the land. This happens when x=0, which is the y-intercept.Determine the R-squared Coefficient: Determine the R-squared value.Discuss what R-squared means in the context of this analysis.Conclusions: Reflect on the Relationship: Reflect on the relationship between square feet and sales price by answering the following questions:Is the square footage for homes in your selected region different than for homes overall in the United States?For every 100 square feet, how much does the price go up (i.e., can you use slope to help identify price changes)?Use the regression equation to estimate how much you would list your house for if it was 1,200 square feet.What square footage range would the graph be best used for?
IRP project
1 Draft IRPSummary:In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and ...
IRP project
1 Draft IRPSummary:In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and Excel as needed to analyze real-world data.In the first assignment (IRP Research Question and Data Set), you identified the data set you wanted to use, developed a research question, and identified a statistical question that could be answered analytically.In this assignment, you will create and submit a business memo (template attached) that clearly communicates your analysis of the data set you identified in the previous assignment. When you submit this draft of your IRP, you will get feedback from your classmates and your instructor. You should use this feedback to improve your IRP.In later assignments (IRP Memorandum, IRP Presentation, Presentation Questions Reply), you will submit the final version of your IRP, create and submit a PowerPoint presentation that summarizes your IRP, present your analysis via a recorded video presentation, and answer questions about your presentation.AttachmentsIRP Template 2018.docxIRP Draft (2)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeUse of software tools10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsThis criterion is linked to a Learning OutcomeData Display15.0 ptsGood12.0 ptsFair0.0 ptsInadequate15.0 ptsThis criterion is linked to a Learning OutcomeAnalysis Procedure25.0 ptsGood20.0 ptsFair0.0 ptsInadequate25.0 ptsThis criterion is linked to a Learning OutcomeData Analysis Conclusion20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeRecommended Actions20.0 ptsGood16.0 ptsFair0.0 ptsInadequate20.0 ptsThis criterion is linked to a Learning OutcomeDecision Approach10.0 ptsGood8.0 ptsFair0.0 ptsInadequate10.0 ptsTotal Points: 100.02 IRP PresentationUpload your IRP PowerPoint presentation to this assignment.You only have four minutes, so be concise and careful with your language.Use the PowerPoint Narration tool for your slides, even if you present face to face, it is good practice.Attachments: IRP Presentation TemplateIS 3310 Presentation Rubric Fall 2018 v2CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeContentInformation on slides reflects understanding and effective summarization. Information has not simply been copied and pasted from another IRP memo. Information is presented in logical sequence/structure.60.0to >35.0 ptsGoodAll essential elements needed to explain the analyiss and decision are present.35.0to >10.0 ptsAdequateMissing an essential element that explains the analysis and recommendation.10.0to >0 ptsInadequateTwo or more essential elements needed to understand the analysis are missing.60.0ptsThis criterion is linked to a Learning OutcomeDesignEasy to read, good color choices, no eye charts. Appropriate use of charts, graphs, and images to effectively communicate to the audience.15.0to >13.0 ptsGoodGreat design, color choice. Appropriate charts, graphs, tables, etc. are used in the presentation to promote the narrative.13.0to >10.0ptsAdequateSome charts, graphs, tables, etc. are used in the presentation to promote the narrative.10.0to >0 ptsInadequatePoor use of images, tables, etc. to explain the analysis and recommendation.15.0ptsThis criterion is linked to a Learning OutcomeUse of language (Grammar and Word Choice)Presentation is free of spelling and grammatical errors10.0 ptsGoodNo noticeable errors apparent in the presentation.10.0to >0 ptsInadequateOne ore more grammar, spelling, or obvious factual errors that a good proofreading of the presentation should have caught.10.0ptsThis criterion is linked to a Learning OutcomePresentationPresenter spoke clearly and slowly enough to be heard by the audience. Presenter effectively communicated their recommendation based on their analysis.15.0 ptsVery good.Clear, well spoken, not rushed. Presenation was organized logically, and effectively communicated the presenter's recommendation.10.0 ptsAveragePresenation was understandable, but was rushed and not logically arranged.5.0 ptsCould be betterThe speaker was hard to understand, rushed through the presentation, are had annoying habits that made following the15.0pts3 IRP MemorandumIn this Independent Research Project (IRP), students provide a business decision recommendation using SAS primarily and Excel as needed to obtain real world data. The student will create and submit a business report that clearly communicates a recommendation based on their analysis of the data set that includes an analysis of different courses of action using weighted factors. The students will also create a Power Point presentation that summarizes their IRP and present their analysis live, via video-teleconference or as a recorded video presentation. The student will also answer questions about their presentation.DELIVERABLE:ATTACH:IRP MEMORANDUM TEMPLATEIRP Memo Final (3)IRP Memo Final (3)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeSalutationIdentify the audience for this IRP3.0 ptsGoodDate, From, To lines correct.1.0 ptsFairOne or more items incorrect.0.0 ptsInadequateTwo or more items incorrect.3.0 ptsThis criterion is linked to a Learning OutcomeSubject LineShould relate to the topic, be interesting.3.0 ptsGoodSubject line is relevant and informative.1.0 ptsFairSubject line is not relevant to the IRP.0.0 ptsInadequateSubject line does is not informative.3.0 ptsThis criterion is linked to a Learning OutcomeIntroductionSummary of the whole IRP. You may not be able to write this portion until you have finished the rest of the paper.26.0 ptsGoodParagraph 1: Summary of IRP. Paragraph 2: Discussion of tools and data. Paragraph 3: Summary of findings, analysis conclusion, and recommendation.16.0 ptsFairMissing one of the introduction paragraphs, or not well written.5.0 ptsInadequateMissing two or more of the relevant parts of the introduction, or not written well.26.0 ptsThis criterion is linked to a Learning OutcomeIssue IdentificationRequires critical thinking and creative thinking.12.0 ptsGoodClearly discussed the problem that the analysis is investigating. Clearly identified a primary issue.10.0 ptsFairDiscussed the primary issue that is being investigated somewhat, but not clearly identify the problem.5.0 ptsInadequateDiscussed a symptom of the problem only.12.0 ptsThis criterion is linked to a Learning OutcomeIssue AnalysisHow are you going to investigate your problem with this data?12.0 ptsGoodClearly discussed analysis plan (specifically mentions ANOVA, Linear Regression, or other analysis method). Clearly states research question in plain language. Correctly states statistical question that matches research question (null and alternative hypotheses).7.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more of the elements of this section.12.0 ptsThis criterion is linked to a Learning OutcomeDataWhere did the data come from? What did you do to prepare it for analysis?9.0 ptsGoodClearly discussed data: 1) Source 2) Any data cleansing required (treatment of outliers?) 3) Appropriate descriptive statistics table included.6.0 ptsFairMissing one of the required elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeAnalysis9.0 ptsFull MarksClear discussion of analysis: 1) Identify variables (independent, dependent, type) 2) Relevant charts and tables 3) Discussion references any charts, tables, values (pvalue, etc.) needed to reach conclusion.6.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeConclusion9.0 ptsFull MarksClearly discussed analysis conclusion: 1) Analysis results (significant, not significant) 2) Hypothesis conclusion (accept, reject) 3) Impact of your conclusion as it relates to the problem you identified in the "Issue Identification" section.6.0 ptsFairMissing one of the elements of this section.3.0 ptsInadequateMissing two or more elements of this section.9.0 ptsThis criterion is linked to a Learning OutcomeCOA'sCourse of Action Development8.0 ptsFull MarksStudent developed three or more courses of action (COA's) to the problem based on a better understanding of the problem obtained by their analysis. COA could optimize ROI, optimize time, optimize, optimize impact on people, "status quo", etc.6.0 ptsFairStudent developed two or more possible solutions.2.0 ptsInadequateStudent did not develop any possible solutions to the problem, or it was not clear that they understood how to think critically about solutions to the problem.8.0 pts
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