Need help with polynomials
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Choose an exercise from the attachment page questions where you multiply the polynomials using a special product rule learned on pgs. 295-297. Show how to multiply using the special product rule and then also show how you would multiply the same polynomials using the distribution, vertical, or box method from pgs. 293-294. Note the exercise number in your post. Explain which method you prefer and why?
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SNHU Selling Price and Area Analysis for DM Pan National Real Estate Company
OverviewRecall that samples are used to generate a statistic, which businesses use to estimate the population parameter. Y ...
SNHU Selling Price and Area Analysis for DM Pan National 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":"b1"} and intercept b0{"version":"1.1","math":"b0"}.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?Guidelines for SubmissionSubmit your completed Module Three Assignment Template as a Word document that includes your response and supCompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to develop a model to predict median housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the median housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate County Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.Define the question your report is trying to answer.Explain when using linear regression is most appropriate.When using linear regression, what would you expect the scatterplot to look like?Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.Data CollectionSampling the data: Select a random sample of 50 counties.Identify your response and predictor variables.Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.Explain if a regression model is appropriate to develop based on your scatterplot.Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.Find r: Find the correlation coefficient (r).Explain how the r value you calculated supports what you noticed in your scatterplot.Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.Determine the strength of the linear regression equation you developed.Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.Did you see the results you expected, or was anything different from your expectations or experiences?What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.What to SubmitTo complete this project, you must submit the following:Project One Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Document: National Statistics and GraphsUse this data for input in your project report.Spreadsheet: Real Estate County DataUse this data for input in your project report.porting charts/graphs. The following resources support your work on this assignment:
9 pages
Mnash Project One Final
Median Housing Price Prediction Model for D. M. Pan National Real Estate Company Report: Median Housing Price Prediction M ...
Mnash Project One Final
Median Housing Price Prediction Model for D. M. Pan National Real Estate Company Report: Median Housing Price Prediction Model for D. M. Pan National ...
equation problem P=A(1+r)^-n, algebra homework help
P=A(1+r)^-nThink of something you want or need for which you currently do not have the funds. It could be a vehicle, boat, ...
equation problem P=A(1+r)^-n, algebra homework help
P=A(1+r)^-nThink of something you want or need for which you currently do not have the funds. It could be a vehicle, boat, horse, jewelry, property, vacation, college fund, retirement money, or something else. Pick something which cost somewhere between $2000 and $50,000.On page 270 of Elementary and Intermediate Algebra you will find the “Present Value Formula,” which computes how much money you need to start with now to achieve a desired monetary goal. Assume you will find an investment which promises somewhere between 5% and 10% interest on your money and you want to purchase your desired item in 12 years. (Remember that the higher the return, usually the riskier the investment, so think carefully before deciding on the interest rate.)State the following in your discussion: The desired itemHow much it will cost in 12 yearsThe interest rate you have chosen to go with from part bSet up the formula and work the computational steps one by one, explaining how each step is worked, especially what the negative exponent means. Explain what the answer means.Does this formula look familiar to any other formulas you are aware of? If so, which formula(s) and how is it similar?Incorporate the following five math vocabulary words into your discussion. Use bold font to emphasize the words in your writing (Do not write definitions for the words; use them appropriately in sentences describing your math work.):Power Reciprocal Negative exponent Position Rules of exponentsYour initial post should be 150-250 words in length.
STA 3215 Rasmussen College Inferential Statistics & Confidence Intervals Excel Task
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.I ...
STA 3215 Rasmussen College Inferential Statistics & Confidence Intervals Excel Task
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobYou have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet. Grading RubricFFCBA01234Not SubmittedNo PassCompetenceProficiencyMasteryNot SubmittedDid not correctly solve a majority of the problems or at least one problem left blank.Correctly solved a majority of the problems.Correctly solved almost all the problems.All problems are solved correctly.Not SubmittedVery few steps are provided to explain how to solve the problem OR the steps provided have several errors.Fairly complete and detailed steps are provided to explain how to solve the problem OR the steps provided have some errors.Mostly complete and detailed steps are provided to explain how to solve the problem.Complete and detailed steps are provided to explain how to solve the problem.Not SubmittedExplanations generally lack a basic understanding of the statistical concepts or lack of proper terminology.Explanations demonstrate a basic understanding of most of the statistical concepts and terminology, but some explanations may be incomplete or incorrect.Explanations demonstrate a proficient understanding of most of the statistical concepts and terminology, but with small errors.Explanations demonstrate a mastery of understanding of the statistical concepts and terminology.Not SubmittedThe majority of variables, equations, and expressions are not properly formatted.The majority of variables, equations, and expressions are properly formatted.Almost all variables, equations, and expressions are properly formatted.All variables, equations, and expressions are properly formatted.
4 pages
Updated Clc Data Needs Identification And Data Acquisition
Hence, the output of the Nike company profit will be measured, therefore, sales data should be collected in a particular v ...
Updated Clc Data Needs Identification And Data Acquisition
Hence, the output of the Nike company profit will be measured, therefore, sales data should be collected in a particular variables: Quarterly sales ...
MTH 218 CUNY Kingsborough Community College Statistics II Analysis Data PPT
You are in charge of conducting an analysis for your organization to see if there is a difference between manager and indi ...
MTH 218 CUNY Kingsborough Community College Statistics II Analysis Data PPT
You are in charge of conducting an analysis for your organization to see if there is a difference between manager and individual ccontributor employee satisfaction. Your coworker has already collected the data and it is ready for you to analyze.Review the attached data, and use the data to Create Presentation.First, plan your analysis. Second, conduct your analysis. Third, describe your analysis. Address the following in your presentation.Create a 7 to 8-slide Microsoft PowerPoint presentation and include speaker notes. Include the following elements in your presentation. Part 1: PlanningWhat are the null and alternative hypotheses?Where did you obtain your data or who obtained it for you?Part 2: AnalysisWhat are the descriptive statistics for your sample? Include:Sample sizeMeanMedianModeStandard deviationAnalysis Procedures: What did you do to conduct your analysis?Part 3: Results and DiscussionWhat are the test statistics and results? Includet statisticp-valueWhat are the results? Are the results inferable to the population?Do you reject or fail to reject the null hypothesis? Explain.What do the results mean? What is your recommendation to the organization?
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Most Popular Content
SNHU Selling Price and Area Analysis for DM Pan National Real Estate Company
OverviewRecall that samples are used to generate a statistic, which businesses use to estimate the population parameter. Y ...
SNHU Selling Price and Area Analysis for DM Pan National 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":"b1"} and intercept b0{"version":"1.1","math":"b0"}.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?Guidelines for SubmissionSubmit your completed Module Three Assignment Template as a Word document that includes your response and supCompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to develop a model to predict median housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the median housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate County Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.Define the question your report is trying to answer.Explain when using linear regression is most appropriate.When using linear regression, what would you expect the scatterplot to look like?Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.Data CollectionSampling the data: Select a random sample of 50 counties.Identify your response and predictor variables.Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.Explain if a regression model is appropriate to develop based on your scatterplot.Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.Find r: Find the correlation coefficient (r).Explain how the r value you calculated supports what you noticed in your scatterplot.Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.Determine the strength of the linear regression equation you developed.Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.Did you see the results you expected, or was anything different from your expectations or experiences?What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.What to SubmitTo complete this project, you must submit the following:Project One Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Document: National Statistics and GraphsUse this data for input in your project report.Spreadsheet: Real Estate County DataUse this data for input in your project report.porting charts/graphs. The following resources support your work on this assignment:
9 pages
Mnash Project One Final
Median Housing Price Prediction Model for D. M. Pan National Real Estate Company Report: Median Housing Price Prediction M ...
Mnash Project One Final
Median Housing Price Prediction Model for D. M. Pan National Real Estate Company Report: Median Housing Price Prediction Model for D. M. Pan National ...
equation problem P=A(1+r)^-n, algebra homework help
P=A(1+r)^-nThink of something you want or need for which you currently do not have the funds. It could be a vehicle, boat, ...
equation problem P=A(1+r)^-n, algebra homework help
P=A(1+r)^-nThink of something you want or need for which you currently do not have the funds. It could be a vehicle, boat, horse, jewelry, property, vacation, college fund, retirement money, or something else. Pick something which cost somewhere between $2000 and $50,000.On page 270 of Elementary and Intermediate Algebra you will find the “Present Value Formula,” which computes how much money you need to start with now to achieve a desired monetary goal. Assume you will find an investment which promises somewhere between 5% and 10% interest on your money and you want to purchase your desired item in 12 years. (Remember that the higher the return, usually the riskier the investment, so think carefully before deciding on the interest rate.)State the following in your discussion: The desired itemHow much it will cost in 12 yearsThe interest rate you have chosen to go with from part bSet up the formula and work the computational steps one by one, explaining how each step is worked, especially what the negative exponent means. Explain what the answer means.Does this formula look familiar to any other formulas you are aware of? If so, which formula(s) and how is it similar?Incorporate the following five math vocabulary words into your discussion. Use bold font to emphasize the words in your writing (Do not write definitions for the words; use them appropriately in sentences describing your math work.):Power Reciprocal Negative exponent Position Rules of exponentsYour initial post should be 150-250 words in length.
STA 3215 Rasmussen College Inferential Statistics & Confidence Intervals Excel Task
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.I ...
STA 3215 Rasmussen College Inferential Statistics & Confidence Intervals Excel Task
CompetencyGiven a real-life application, develop a confidence interval for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobYou have previously explained some of the basic statistics to your client already, and he really liked your work. Now he wants you to analyze the confidence intervals.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet. Grading RubricFFCBA01234Not SubmittedNo PassCompetenceProficiencyMasteryNot SubmittedDid not correctly solve a majority of the problems or at least one problem left blank.Correctly solved a majority of the problems.Correctly solved almost all the problems.All problems are solved correctly.Not SubmittedVery few steps are provided to explain how to solve the problem OR the steps provided have several errors.Fairly complete and detailed steps are provided to explain how to solve the problem OR the steps provided have some errors.Mostly complete and detailed steps are provided to explain how to solve the problem.Complete and detailed steps are provided to explain how to solve the problem.Not SubmittedExplanations generally lack a basic understanding of the statistical concepts or lack of proper terminology.Explanations demonstrate a basic understanding of most of the statistical concepts and terminology, but some explanations may be incomplete or incorrect.Explanations demonstrate a proficient understanding of most of the statistical concepts and terminology, but with small errors.Explanations demonstrate a mastery of understanding of the statistical concepts and terminology.Not SubmittedThe majority of variables, equations, and expressions are not properly formatted.The majority of variables, equations, and expressions are properly formatted.Almost all variables, equations, and expressions are properly formatted.All variables, equations, and expressions are properly formatted.
4 pages
Updated Clc Data Needs Identification And Data Acquisition
Hence, the output of the Nike company profit will be measured, therefore, sales data should be collected in a particular v ...
Updated Clc Data Needs Identification And Data Acquisition
Hence, the output of the Nike company profit will be measured, therefore, sales data should be collected in a particular variables: Quarterly sales ...
MTH 218 CUNY Kingsborough Community College Statistics II Analysis Data PPT
You are in charge of conducting an analysis for your organization to see if there is a difference between manager and indi ...
MTH 218 CUNY Kingsborough Community College Statistics II Analysis Data PPT
You are in charge of conducting an analysis for your organization to see if there is a difference between manager and individual ccontributor employee satisfaction. Your coworker has already collected the data and it is ready for you to analyze.Review the attached data, and use the data to Create Presentation.First, plan your analysis. Second, conduct your analysis. Third, describe your analysis. Address the following in your presentation.Create a 7 to 8-slide Microsoft PowerPoint presentation and include speaker notes. Include the following elements in your presentation. Part 1: PlanningWhat are the null and alternative hypotheses?Where did you obtain your data or who obtained it for you?Part 2: AnalysisWhat are the descriptive statistics for your sample? Include:Sample sizeMeanMedianModeStandard deviationAnalysis Procedures: What did you do to conduct your analysis?Part 3: Results and DiscussionWhat are the test statistics and results? Includet statisticp-valueWhat are the results? Are the results inferable to the population?Do you reject or fail to reject the null hypothesis? Explain.What do the results mean? What is your recommendation to the organization?
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