This dataset below is a record of amount spent on advertising and the number of items sold. With this dataset, a predictive model can be performed to estimate the items sold from the number of cost of advertising. Advertising ($) Items Sold 40 15 20 10 70 14 80 20 10 2 120 25 Required Tasks: a. Derive the simple linear regression equation (between amount spent on advertising and the number of items sold). b. Interpret the slope coefficient and the intercept coefficient. c. Calculate and interpret the Coefficient of Determination. d. Calculate and interpret the correlation coefficient. e. Predict number of Items sold when amount spent on advertising is $200 and $60.

This dataset below is a record of amount spent on advertising and the number of items sold. With this dataset, a predictive model can be performed to estimate the items sold from the number of cost of advertising. Advertising ($) Items Sold 40 15 20 10 70 14 80 20 10 2 120 25 Required Tasks: a. Derive the simple linear regression equation (between amount spent on advertising and the number of items sold). b. Interpret the slope coefficient and the intercept coefficient. c. Calculate and interpret the Coefficient of Determination. d. Calculate and interpret the correlation coefficient. e. Predict number of Items sold when amount spent on advertising is $200 and $60.

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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