A mail order business uses the weight of mail to predict the number of orders received. The results


Question: A mail order business uses the weight of mail to predict the number of orders received. The results of the simple linear regression analysis from Excel are given below.

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.932698
R Square
0.869925
Adjusted
R Square
0.856918
Standard Error 0.839872
Observations 12
ANOVA
df SS MS F Significance F
Regression 1 47.17532 47.17532 66.8788 9.71E-06
Residual 10 7.053852 0.705385
Total 11 54.22917
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 0.88991 1.073448 0.82902 0.426438 -1.50188 3.281701 -1.50188 3.281701
Weight 0.027048 0.003307 8.177946 9.71E-06 0.019679 0.034418 0.019679 0.034418

a. At the 0.05 level of significance, is there evidence of a linear relationship between the weight of mail and the number of orders received?

b. Construct a 95% confidence interval estimate of the population slope β1.

Price: $2.99
See Answer: The solution consists of 2 pages
Deliverables: Word Document

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