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Question: multiple r 0800223 r square 0640357 adjusted r square 0610387...

Question details
Multiple R 0.800223
R Square 0.640357
Adjusted R Square 0.610387
Standard Error 5.793039
Observations 40
ANOVA
df SS MS F Significance F
Regression 3 2151.13 717.0433 21.36645 4.02E-08
Residual 36 1208.135 33.5593
Total 39 3359.265
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 6.702471 7.166119 0.9353 0.355866 -7.83109 21.23603 -7.83109 21.23603
Price Discount (in %) 0.341666 0.068923 4.957206 1.71E-05 0.201884 0.481449 0.201884 0.481449
Radio Exp (in $1,000) 6.062389 1.626002 3.728403 0.000661 2.764705 9.360073 2.764705 9.360073
Newspaper Exp (in $1,000) 9.396795 2.201828 4.267723 0.000137 4.93128 13.86231 4.93128 13.86231

(1) Ho and Ha (in notation and words)

(2) Identify F-stat

(3) Specify the decision criteria (use the CV approach). Be sure to identify the critical value

(4) State your conclusion. Explain what it means in one sentence

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