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Age The correlation between Total Yearly Purchases and Age is r = 0.037. Summary statistics for the two variables are: Mean SD 29.67 yr 8.51 yr Age Total Yearly Purchase $572.52 $253.62 a) What is the linear regression equation for predicting Total Yearly Purchase from Age? b) Do the assumptions and conditions for regression appear to be met? c) What is the predicted Total Yearly Purchase for an 18-year-old? For a 50-year-old?

Age The correlation between Total Yearly Purchases and Age is r = 0.037. Summary statistics for the two variables are: Mean SD 29.67 yr 8.51 yr Age Total Yearly Purchase $572.52 $253.62 a) What is the linear regression equation for predicting Total Yearly Purchase from Age? b) Do the assumptions and conditions for regression appear to be met? c) What is the predicted Total Yearly Purchase for an 18-year-old? For a 50-year-old?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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There’s two part to this question. It has parts A-E.
50 60 Age gr The correlation between Total Yearly Purchases and Age is r = 0.037. Summary statistics for the two variables are: re Mean SD Age 29.67 yr 8.51 yr 70 Total Yearly Purchase $572.52 $253.62 600 a) What is the linear regression equation for predicting Total Yearly Purchase from Age? b) Do the assumptions and conditions for regression appear to 500- be met? c) What is the predicted Total Yearly Purchase for an 18-year-old? For a 50-year-old? d) What percent of the variability in Total Yearly Purchases is accounted for by this model? e) Do 400 you think the regression might be a useful one for the company? Explain. a) Describe 52. Online clothes II For the online clothing retailer discussed in the previous problem, the scatterplot of Total Yearly Purchases by Income looks like this: b) Are there overall pa c) For these Math SAT
Transcribed Image Text:50 60 Age gr The correlation between Total Yearly Purchases and Age is r = 0.037. Summary statistics for the two variables are: re Mean SD Age 29.67 yr 8.51 yr 70 Total Yearly Purchase $572.52 $253.62 600 a) What is the linear regression equation for predicting Total Yearly Purchase from Age? b) Do the assumptions and conditions for regression appear to 500- be met? c) What is the predicted Total Yearly Purchase for an 18-year-old? For a 50-year-old? d) What percent of the variability in Total Yearly Purchases is accounted for by this model? e) Do 400 you think the regression might be a useful one for the company? Explain. a) Describe 52. Online clothes II For the online clothing retailer discussed in the previous problem, the scatterplot of Total Yearly Purchases by Income looks like this: b) Are there overall pa c) For these Math SAT
51. Online clothes An online clothing retailer keeps track of its customers' purchases. For those customers who signed up for the company's credit card, the company also has information on the customer's Age and Income. A random sample of 500 of these customers shows the following scatterplot of Total Yearly Purchases by Age: a) b). c) L We ar 1400 d) W 1200 ac 1000 e) Do 800 cor 600 53. SAT se 400 cation 200 have nc SAT-Ma the ques the math graduatin regression 20 30 40 50 60 Age The correlation between Total Yearly Purchases and Age is r = 0.037. Summary statistics for the two variables are: 800 Total Yearly Purchases ($)
Transcribed Image Text:51. Online clothes An online clothing retailer keeps track of its customers' purchases. For those customers who signed up for the company's credit card, the company also has information on the customer's Age and Income. A random sample of 500 of these customers shows the following scatterplot of Total Yearly Purchases by Age: a) b). c) L We ar 1400 d) W 1200 ac 1000 e) Do 800 cor 600 53. SAT se 400 cation 200 have nc SAT-Ma the ques the math graduatin regression 20 30 40 50 60 Age The correlation between Total Yearly Purchases and Age is r = 0.037. Summary statistics for the two variables are: 800 Total Yearly Purchases ($)
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