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Regression Answers

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Find the missing values and find out whether the independent variables have significant evidence using

p-value,
confidence interval and significant F. SOLUTIONS ARE NOT REQUIRED (Hint: find the CRITICAL VALUE for intervals)

SUMMARY OUTPUT 1

Regression Statistics
Multiple R 0.995809184
R Square 0.99163593
Adjusted R
Square 0.986059884
Standard Error 64.99977223
Observations 6

ANOVA
Significance
df SS MS F F
Regression 2 2003633.452 1001816.726 177.838535 0.000764938
Residual 3 16899.88156 5633.293852
Total 5 2020533.333

Standard
Coefficients Error t Stat P-value Lower 95% Upper 95%
0.05784
Intercept 585.9646311 195.5743319 2.996122371 7386 36.44017892 1208.369441
Advertising 9.922842966 0.764946982 12.97193556 0.000989105 7.488440268 12.35724566
Price 19.1074818 4.12651282 4.630418622 0.018971625 5.975076327 32.23988728

SUMMARY OUTPUT 2

Regression Statistics
Multiple R -0.89236812
R Square 0.796320864
Adjusted R
Square 0.786621858
Standard Error 0.007858992
Observations 23

ANOVA
Significance
df SS MS F F
Regression 1 0.005071011 0.005071011 82.10334408 1.05765E-08
Residual 21 0.001297039 0.00006176
Total 22 0.00636805
Standard
Coefficients Error t Stat P-value Lower 95% Upper 95%
Intercept 0.828760096 0.008469082 97.85712967 2.02753E-29 0.811147675 0.84637252
Expected Return -0.7640608 0.084323281 -9.061089564 1.05765E-08 -0.93942066 0.58870094

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