Revenue($ thousands) 19 32 44 40 52 53 54 57 a. Determine the slope coefficient Bị for the regression of revenue given advertising expenditures. Answer rounded to three decimal places. 2.519 2.519 b. Determine the y-intercept B, for the regression of revenue given advertising expenditures. Answer rounded to two decimal places. 25.927 25.927 c. Predict the revenue of a restaurant if advertising expenditure is $5 thousands. Answer rounded to two decimal places. Thousand $ 38.52 38.52 d. What percentage of the variation in Annual sales is explained by the regression model? Answer either in percentage or as a decimal (eg: 15.25%, or 0.1525)
Revenue($ thousands) 19 32 44 40 52 53 54 57 a. Determine the slope coefficient Bị for the regression of revenue given advertising expenditures. Answer rounded to three decimal places. 2.519 2.519 b. Determine the y-intercept B, for the regression of revenue given advertising expenditures. Answer rounded to two decimal places. 25.927 25.927 c. Predict the revenue of a restaurant if advertising expenditure is $5 thousands. Answer rounded to two decimal places. Thousand $ 38.52 38.52 d. What percentage of the variation in Annual sales is explained by the regression model? Answer either in percentage or as a decimal (eg: 15.25%, or 0.1525)
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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Transcribed Image Text:Advertising Expenditure ($ thousands)
1
8
10
12
14
Revenue($ thousands)
19
32
44
40
52
53
54
57
a. Determine the slope coefficient B1 for the regression of revenue given advertising expenditures.
Answer rounded to three decimal places.
2.519
2.519
b. Determine the y-intercept B, for the regression of revenue given advertising expenditures.
Answer rounded to two decimal places.
25.927
25.927
c. Predict the revenue of a restaurant if advertising expenditure is $5 thousands.
Answer rounded to two decimal places.
Thousand $
38.52
38.52
d. What percentage of the variation in Annual sales is explained by the regression model?
Answer either in percentage or as a decimal (eg: 15.25%, or 0.1525)
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