Description
help!
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Since f(x) simply means y, think of the equation as y=1/x-6+7
This means y= 1/x+1
Hope I helped :)
Completion Status:
100%
Review
Review
Anonymous
Just what I was looking for! Super helpful.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
4 pages
Mathematics
The mean value is calculated by considering the formula: The median corresponds to the data value situated such that when ...
Mathematics
The mean value is calculated by considering the formula: The median corresponds to the data value situated such that when ordered from the lowest to
MAT 240 SNHU Prediction Model for the Median Housing Price Report
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 SNHU Prediction Model for the Median Housing Price Report
CompetenciesIn 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.
Grossmont College Drinking Habits Statistics Lab Discussion
CONTEXTA university conducted a student survey, collecting data from a random sample of 236 undergraduate students.The dat ...
Grossmont College Drinking Habits Statistics Lab Discussion
CONTEXTA university conducted a student survey, collecting data from a random sample of 236 undergraduate students.The data for this lab is a subset of the real data collected by the university. Some students did not answer all of the questions in the survey. We use the symbol * in the spreadsheet to indicate missing data. VARIABLESGender Male or FemaleAlcohol Number of alcoholic beverages consumed in a typical weekHeight Self-reported height (in inches)Cheat Would you tell the instructor if you saw somebody cheating on an exam? (0=No, 1=Yes)DATAIf you have not done so already, download the drinking (Links to an external site.) datafile, then upload the file in StatCrunch. PROMPTIn your initial discussion post, respond to each of the following after you download the drinking.xlsx file provided in the Data section below.Describe the distribution of weekly alcohol consumption using concepts from Unit 2.Make an appropriate graph and provide appropriate numerical summaries. To recall how to create these items, see the StatCrunch directions provided below.Describe the shape, center and spread using numerical measures that best describe the distribution.In your description, include an interval of typical values and a discussion of variability.Embed your StatCrunch graph in your initial post. To recall how to embed StatCrunch output, see the directions provided below.Do the data suggest that drinking is a problem in this university?Use the data to support your answer.NOTE: I will provide you the Canvas log in and password when you bid the question to view and understand the discussion better. You have to use StatCrunch for the data so I will provide you with the log in info too.Last NOTE: use you own words with basic English. NO copying or Plagiarism.
Hypothesis Testing
Question set 1 Z-test null and alternate hypothesis set up ?Conclusion?T-test null and alternate hypothesis set up ?Conclu ...
Hypothesis Testing
Question set 1 Z-test null and alternate hypothesis set up ?Conclusion?T-test null and alternate hypothesis set up ?Conclusion ?Question set 2Run a one-way ANOVA to compare three or more groups of people (specified by a categorical variable) on one continuous variable.Write the null and alternate hypotheses.What is the calculated mean for each group? What is the calculated F value?What is the p and critical F value?Is the p value significant? Is calculated F value greater than Critical F value? Conclusion?Run a chi-squared test to determine whether one group of people has higher rates of a given outcome relative to the other groups of people in the data set.Write the null and alternate hypotheses.What is the calculated chi-square value?What is the p and critical value?Is the p value significant? Is calculated chi-square value greater than Critical F value? Conclusion?
Similar Content
Miami University Rule of Inference Discrete Math Questions
just follow the exam to complete the questions ...
Help with Algebra question
Did you drive to work today? If you did, you used a ratio. Driving 30 miles per hour involves a ratio or proportion of two...
A Methodical Review, statistics homework help
Assignment 1: A Methodical ReviewUsing the Argosy University online library resources, locate a research study related to ...
Math 311 week 6 homework
Please see attached problems I need solved.Thanks20160212183142math_311_week_6__2_.docx...
salesperson earns a salary of $800 per month plus 2% of the sales. Which inequal
1.A
salesperson earns a salary of $800 per month plus 2% of the sales.
Which inequality represents the total sales if ...
Number Theory question
Primes and Composites: There are 20 boys and 24 girls in an Algebra I class. The class is so large that the teacher wants ...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
4 pages
Mathematics
The mean value is calculated by considering the formula: The median corresponds to the data value situated such that when ...
Mathematics
The mean value is calculated by considering the formula: The median corresponds to the data value situated such that when ordered from the lowest to
MAT 240 SNHU Prediction Model for the Median Housing Price Report
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 SNHU Prediction Model for the Median Housing Price Report
CompetenciesIn 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.
Grossmont College Drinking Habits Statistics Lab Discussion
CONTEXTA university conducted a student survey, collecting data from a random sample of 236 undergraduate students.The dat ...
Grossmont College Drinking Habits Statistics Lab Discussion
CONTEXTA university conducted a student survey, collecting data from a random sample of 236 undergraduate students.The data for this lab is a subset of the real data collected by the university. Some students did not answer all of the questions in the survey. We use the symbol * in the spreadsheet to indicate missing data. VARIABLESGender Male or FemaleAlcohol Number of alcoholic beverages consumed in a typical weekHeight Self-reported height (in inches)Cheat Would you tell the instructor if you saw somebody cheating on an exam? (0=No, 1=Yes)DATAIf you have not done so already, download the drinking (Links to an external site.) datafile, then upload the file in StatCrunch. PROMPTIn your initial discussion post, respond to each of the following after you download the drinking.xlsx file provided in the Data section below.Describe the distribution of weekly alcohol consumption using concepts from Unit 2.Make an appropriate graph and provide appropriate numerical summaries. To recall how to create these items, see the StatCrunch directions provided below.Describe the shape, center and spread using numerical measures that best describe the distribution.In your description, include an interval of typical values and a discussion of variability.Embed your StatCrunch graph in your initial post. To recall how to embed StatCrunch output, see the directions provided below.Do the data suggest that drinking is a problem in this university?Use the data to support your answer.NOTE: I will provide you the Canvas log in and password when you bid the question to view and understand the discussion better. You have to use StatCrunch for the data so I will provide you with the log in info too.Last NOTE: use you own words with basic English. NO copying or Plagiarism.
Hypothesis Testing
Question set 1 Z-test null and alternate hypothesis set up ?Conclusion?T-test null and alternate hypothesis set up ?Conclu ...
Hypothesis Testing
Question set 1 Z-test null and alternate hypothesis set up ?Conclusion?T-test null and alternate hypothesis set up ?Conclusion ?Question set 2Run a one-way ANOVA to compare three or more groups of people (specified by a categorical variable) on one continuous variable.Write the null and alternate hypotheses.What is the calculated mean for each group? What is the calculated F value?What is the p and critical F value?Is the p value significant? Is calculated F value greater than Critical F value? Conclusion?Run a chi-squared test to determine whether one group of people has higher rates of a given outcome relative to the other groups of people in the data set.Write the null and alternate hypotheses.What is the calculated chi-square value?What is the p and critical value?Is the p value significant? Is calculated chi-square value greater than Critical F value? Conclusion?
Earn money selling
your Study Documents