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Reserve Problems Chapter 12 Section 1 Problem 1 During a research, the amount of Internet users was measured. Each time three

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using excel>data>data analysis>Regression

we have

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.908247
R Square 0.824912
Adjusted R Square 0.786003
Standard Error 955.3398
Observations 12
ANOVA
df SS MS F Significance F
Regression 2 38699825 19349913 21.20134 0.000393
Residual 9 8214067 912674.1
Total 11 46913892
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 3389.167 880.7797 3.847916 0.003919 1396.704 5381.629
x1 572.5 123.3338 4.641873 0.001216 293.4995 851.5005
x2 -77.125 16.88818 -4.5668 0.001353 -115.329 -38.9213

Ans a )the regression equation is

\hat{y} = 3389.2+572.5x_1-77.1x_2

b )

\hat{\sigma}^2 = 955.33982 = 912674.1 ~912674

c ) Se(\beta_0) =880.8

Se(\beta_1)=123.3

Se(\beta_2)=16.9

d ) for x1 = 4 . x2 = 40

\hat{y} = 3389.2+572.5*4-77.1*40

\hat{y} =2595.2\approx 2595

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