Question 5: Week 11 Question 3, (7 Marks)Dex Research Limited conducted a research to investigate consumer characteristics that can be used topredict the amount charged by credit card users. The following multiple regression output is based on adata collected by this research company on annual income, household size and annual credit cardcharges for a sample if 50 consumers.Regression StatisticsMultiple RR SquareAdjusted R SquareStandard ErrorObservations0.9086A0.8181398.0910ANOVAdfSignificance FMSFRegression2DEG.1.50876E-18Residual7448393.148Total4942699148.82Coefficients Standard Errort StatP-valueIntercept1304.9048197.65486.60193.28664E-08Income ($1000s)33.13303.96797.68206E-11Household Size356.295933.200910.73153.12342E-14(4 marks)a. Complete the missing entries from A to H in this outputb. Estimate the annual credit card charges for a three-person household with an annual incomeof $40,000.(2 marks)(1 mark)C.Did the estimated regression equation provide a good fit to the data? Explain

Dex Research Limited conducted a research to investigate consumer characteristics that can be used to predict the amount charged by credit card users. The following multiple regression output is based on a data collected by this research company on annual income, household size and annual credit card charges for a sample if 50 consumers. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9086 0.8181 398.0910 ANOVA Significance F 1.50876E-18 df SS MS F Regression 2 D E Residual 7448393.148 Total 49 42699148.82 Coefficients Standard Error 1304.9048 t Stat P-value Intercept Income ($1000s) Household Size 197.6548 6.6019 3.28664E-08 33.1330 3.9679 7.68206E-11 356.2959 33.2009 10.7315 3.12342E-14 (4 marks) b. Estimate the annual credit card charges for a three-person household with an annual income (2 marks) (1 mark) a. Complete the missing entries from A to H in this output of $40,000. c. Did the estimated regression equation provide a good fit to the data? Explain

Dex Research Limited conducted a research to investigate consumer characteristics that can be used to predict the amount charged by credit card users. The following multiple regression output is based on a data collected by this research company on annual income, household size and annual credit card charges for a sample if 50 consumers. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9086 0.8181 398.0910 ANOVA Significance F 1.50876E-18 df SS MS F Regression 2 D E Residual 7448393.148 Total 49 42699148.82 Coefficients Standard Error 1304.9048 t Stat P-value Intercept Income ($1000s) Household Size 197.6548 6.6019 3.28664E-08 33.1330 3.9679 7.68206E-11 356.2959 33.2009 10.7315 3.12342E-14 (4 marks) b. Estimate the annual credit card charges for a three-person household with an annual income (2 marks) (1 mark) a. Complete the missing entries from A to H in this output of $40,000. c. Did the estimated regression equation provide a good fit to the data? Explain

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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