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Estimating the regression equation. 

You have been provided with the following regression output. The dependent variable is unit sales of a product, and the independent variable is the dollar value of newspaper advertising for that product. The unit of analysis is weeks; that is, each of the observations in the 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

Predictors

   Co-eff

           SECo-eff           

          T              

           P

Constant

   6514

         1138

     5.72

         0.000

Newspaper      

   0.038625                     

      0.005494

     7.03

         0.00

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

Analysis of Variance 

Source

      D F

           S          

        M S                        

 F

 P

Regression  

      1

       1567134272

      1567134272

 49.43

 0.000

Residual Error

      154

      4882532724

      31704758

 

 

Total      

      155

      6449666996

 

 

 

1. How much of the variability has been describeed?

2. Is there a relationship between sales and newspaper advertising? Maintain your answer?

3. What does the constant coefficient 6514 mean?

Statistics and Probability, Statistics

  • Category:- Statistics and Probability
  • Reference No.:- M921051

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