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$30.00 A review of the different retailer companies' annual sales and annual profits by

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volcanblack
 
 
Q:

(TCO E and F) A review of the different retailer companies' annual sales and annual profits by Fortune Magazine was performed to determine whether there is a correlation between the two variables. The analysis revealed the following:

Refer to the Minitab output below to answer questions A through G.

Regression Equation

 

Profits (billions of dollars) = 0.286133 + 0.0351855 Sales (billions of dollars)

 

Coefficients

 

Term

Coef

SE Coef

T

P

95% CI Constant

Constant

0.286133

0.626256

0.45690

.0664

(-1.24626, 1.8185)

Sales (billions of dollars)

0.035185

0.005166

6.81084

0.000

(0.02254, 0.04783)

 

Summary of Model

 

S = 1.35441

R-Sq = 88.55%

R-Sq(adj) = 86.64%

PRESS = 26.6328

R-Sq(pred) = 72.29%

 

 

Analysis of Variance

 

Source

DF

Seq SS

Adj SS

Adj MS

F

Regression

1

85.0941

85.0941

85.0941

46.3876

Sales (billions of dollars)

1

85.0941

85.0941

85.0941

46.3876

Error

6

11.0065

11.0065

1.8344

 

Total

7

96.1006

     
 

Source

P

Regression

0.0004912

Sales (billions of dollars)

0.0004912

Error

 

Total

 

 

Predicted Values for New Observations

 

New Obs

Fit

SE Fit

95% CI

95% PI

1

3.80468

0.492009

(2.60078, 5.00859)

(0.278677, 7.33069)

 

Values of Predictors for New Observations

 

New Obs

Sales (billions of dollars)

1

100

(A) Analyze the above output to determine the regression equation. (10 points)
(B) What conclusions are possible using the meaning of b0 (intercept) and b1 (regression coefficient) in this problem? (That is, explain the meaning of the coefficients.) (10 points)
(C) What conclusions are possible using the coefficient of determination (r-squared)? (6 points)
(D) Calculate the coefficient of correlation. Interpret this value. (6 points)
(E) Does this data provide significant evidence (a=0.05) that the companies' profits are related to the amount of sales? Find the p-value and interpret. (6 points)
(F) Predict the average annual profits for annual sales of 100 billion dollars. (6 points)
(G) What is the 95% confidence interval for annual profits for annual sales of 100 billion dollars? What conclusion is possible using this interval? (6 points)

(Points : 50) 

 

Tutorial
 
$30.00
A review of the different retailer companies' annual sales and annual profits by
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Preview: ... dollars? What conclusion is possible using this interval? (6 points) (Points : 50)  1. (TCO E and F) A review of the different retailer companies' annual sales and annual profits by Fortune Magazine was performed to determine whether there is a correlation between the two variables. The analysis revealed the following: Refer to the Minitab output below to answer questions A through G. Regression Equation   Profits (billions of dollars) = 0.286133 + 0.0351855 Sales (billions of dollars)   Coefficients   Term Coef SE Coef T P 95% CI Constant Constant 0.286133 0.626256 0.45690 .0664 (-1.24626, 1.8185) Sales (billions of dollars) 0.035185 0.005166 6.81084 0.000 (0.02254, 0.04783)   Summary of Model   S = 1.35441 R-Sq = 88.55% R-Sq(adj) = 86.64% PRESS = 26.6328 R-Sq(pred) = 72.29%     Analysis of Variance   Source DF Seq SS Adj SS Adj MS F Regression 1 85.0941 85.0941 85.0941 ...

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