The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars.   Predictor Coefficient SE Coefficient t p-value Constant   7.096     3.245     2.187     0.010   x1   0.222     0.117     1.897     0.000   x2   -1.024     0.562     -1.822     0.028   x3   -0.337     0.192     -1.755     0.114   x4   0.623     0.263     2.369     0.001   x5   -0.058     0.029     -2.000     0.112       Analysis of Variance Source DF SS MS F p-value Regression 5   2,009.28   401.9   7.33   0.000   Residual Error 50   2,741.54   54.83           Total 55   4,750.81                   x1 is the number of architects employed by the company. x2 is the number of engineers employed by the company. x3 is the number of years involved with health care projects. x4 is the number of states in which the firm operates. x5 is the percent of the firm’s work that is health care−related. 1 and 2 questions dont answer but C1,C2,C3 are mandatory   Write out the regression equation. (Negative answers should be indicated by a minus sign. Round your answers to 3 decimal places.)         How large is the sample? How many independent variables are there?         c-1. At the 0.05 significance level, state the decision rule to test: H0: β1 = β2 = β3 =β4 = β5 = 0; H1: At least one β is 0. (Round your answer to 2 decimal places.)   ---------------H0--------------------regression coefficient is not equal to 0 Reject                                Atleast one Fail to Reject                      No evidence that any   Above you can see options for blanks   c-2. Compute the value of the F statistic. (Round your answer to 2 decimal places.)   F value is     c-3. What is the decision regarding H0: β1 = β2 = β3 = β4 = β5 = 0?   -----------------H0--------------Regression coefficient is not equal to zero Reject                                           Atleast one  Fail to reject                                  No evidence that any

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The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars.

 

Predictor Coefficient SE Coefficient t p-value
Constant   7.096     3.245     2.187     0.010  
x1   0.222     0.117     1.897     0.000  
x2   -1.024     0.562     -1.822     0.028  
x3   -0.337     0.192     -1.755     0.114  
x4   0.623     0.263     2.369     0.001  
x5   -0.058     0.029     -2.000     0.112  
 

 

Analysis of Variance
Source DF SS MS F p-value
Regression 5   2,009.28   401.9   7.33   0.000  
Residual Error 50   2,741.54   54.83          
Total 55   4,750.81              
 

 

x1 is the number of architects employed by the company.

x2 is the number of engineers employed by the company.

x3 is the number of years involved with health care projects.

x4 is the number of states in which the firm operates.

xis the percent of the firm’s work that is health care−related.

1 and 2 questions dont answer but C1,C2,C3 are mandatory

 

  1. Write out the regression equation. (Negative answers should be indicated by a minus sign. Round your answers to 3 decimal places.)

 

 

 

 

  1. How large is the sample? How many independent variables are there?

 

 

 

 

  1. c-1. At the 0.05 significance level, state the decision rule to test: H0: β1 = β2 = β3 =β4 = β5 = 0; H1: At least one β is 0. (Round your answer to 2 decimal places.)

 

---------------H0--------------------regression coefficient is not equal to 0

Reject                                Atleast one
Fail to Reject                      No evidence that any
 
Above you can see options for blanks

 

  1. c-2. Compute the value of the F statistic. (Round your answer to 2 decimal places.)

 

F value is

 

 

  1. c-3. What is the decision regarding H0: β1 = β2 = β3 = β4 = β5 = 0?

 

-----------------H0--------------Regression coefficient is not equal to zero

Reject                                           Atleast one 

Fail to reject                                  No evidence that any

 

 

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