Using the data given in the question about Correlation between monthly advertising budget and the number of sales, find the EQUATION OF THE REGRESSION LINE in which the explanatory variable (or x variable is the monthly advertising budget) and the response variable (or y variable) is the number of sales. You may use MS Excel, statistical software, or other online statistical tools found on the Internet. TO SUBMIT/UPLOAD: Image/picture/screen shot of you output showing calculations/results with the use of Excel or other statistical tools. Encircle the equation of the line.
Using the data given in the question about Correlation between monthly advertising budget and the number of sales, find the EQUATION OF THE REGRESSION LINE in which the explanatory variable (or x variable is the monthly advertising budget) and the response variable (or y variable) is the number of sales. You may use MS Excel, statistical software, or other online statistical tools found on the Internet. TO SUBMIT/UPLOAD: Image/picture/screen shot of you output showing calculations/results with the use of Excel or other statistical tools. Encircle the equation of the line.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:SUMMARY OUTPUT
Y
54
3
Regression Statistics
52
11
4 Multiple R
5 R Square
6 Adjusted R Squa
7 Standard Error
8 Observations
0.926932947
64
11
0.859204688
72
19
0.812272917
81
21
2.341288283
ANOVA
10
11
12 Regression
13 Residual
14 Total
df
SS
MS
Significance F
100.3551075 100.355108
16.44489247 5,48163082
1
18.30752758
0.023447591
116.8
15
16
Upper 95%
-32.33489968 7.68301796
0.105207392 0.71602917
P-value
Lower 95%
Lower 95.0%
Upper 95.0%
Coefficients
-12.32594086
Standard Error t Stat
-32.33489968
0.105207392
0.144788044
7.683017962
17 Intercept
18 X
6.28728874
-1.9604541
0.716029167
0.41061828
0.095967334 4.27872967
0.023447591
19
PEARSON COEFFICIENT r=0.93
20

Transcribed Image Text:Using the data given in the question about Correlation between monthly advertising
budget and the number of sales, find the EQUATION OF THE REGRESSION LINE in
which the explanatory variable (or x variable is the monthly advertising budget) and
the response variable (or y variable) is the number of sales. You may use MS Excel,
statistical software, or other online statistical tools found on the Internet.
TO SUBMIT/UPLOAD: Image/picture/screen shot of you output showing
calculations/results with the use of Excel or other statistical tools. Encircle the
equation of the line.
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