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In regression equation, the value of y-intercept indicates the value of Y when the value of X is zero.

You have been provided with the following regression output. The dependent variable is unit sales of a product, and the independent variable is dollar value of newspaper advertising for that product. The unit of analysis is weeks; that is, each of the observations in underlying sample data represents a separate week of sales and newspaper advertising.
Regression Analysis: Sales versus Newspaper the regression equation is

Sales = 6514 + 0.0386 Newspaper

Predictor

 Co-eff        

SE Co-eff      

T          

P

Constant

6514

1138

5.72

0.000

Newspaper

0.038625

0.005494 

7.03

0.000


S = 5630.70   R-Sq = 24.3%   R-Sq(adj) = 23.8%

Analysis of Variance

Source              

DF       

SS                   

MS                     

F               

P

Regression

1

1567134272

1567134272 

49.43

0.000

Residual Error

154

4882532724

31704758

 

 

Total

155

6449666996

 

 

 

 

 

Statistics and Probability, Statistics

  • Category:- Statistics and Probability
  • Reference No.:- M921057

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