Q The table below presents data concerning the amount of sales and the amount spent for advertising for 10 firms. Sales (00-AUS$) 1890 Advertising _(AUSS) 350 1710 350 2000 250 1825 2007 1120 2212 351 225 440 231 2147 3040 262 96.9 350 1650 a) Fit a simple linear regression model relating the amount of sales to the amount that is spent for advertising. b) Estimate the mean amount of sales at an advertising of $250 (AUS$).Then, calculate the residual for the value of advertising of $250. c) Calculate the Coefficient of Correlation “r" d) Test for significance of regression by ANOVA.

Q The table below presents data concerning the amount of sales and the amount spent for advertising for 10 firms. Sales (00-AUS$) 1890 Advertising _(AUSS) 350 1710 350 2000 250 1825 2007 1120 2212 351 225 440 231 2147 3040 262 96.9 350 1650 a) Fit a simple linear regression model relating the amount of sales to the amount that is spent for advertising. b) Estimate the mean amount of sales at an advertising of $250 (AUS$).Then, calculate the residual for the value of advertising of $250. c) Calculate the Coefficient of Correlation “r" d) Test for significance of regression by ANOVA.

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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Question

only D part

Q The table below presents data concerning the amount of sales and the amount spent for
advertising for 10 firms.
Advertising
(AUSS)
350
Sales
(00-AUS$)
1890
1710
350
2000
250
1825
351
2007
225
1120
440
2212
231
2147
262
3040
96.9
1650
350
a) Fit a simple linear regression model relating the amount of sales to the amount
that is spent for advertising.
b) Estimate the mean amount of sales at an advertising of $250 (AUS$).Then,
calculate the residual for the value of advertising of $250.
c) Calculate the Coefficient of Correlation "r"
d) Test for significance of regression by ANOVA.

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