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 | Coeff | SE Coeff | t | p-value | ||||
Constant | 8.366 | 3.002 | 2.787 | 0.010 | ||||
X1 | 0.225 | 0.301 | 0.748 | 0.000 | ||||
X2 | –1.216 | 0.538 | –2..260 | 0.028 | ||||
X3 | -0.070 | 0.377 | –0.186 | 0.114 | ||||
X4 | 0.552 | 0.322 | 1.714 | 0.001 | ||||
X5 | -0.049 | 0.028 | –1.750 | 0.112 | ||||
Analysis of Variance | ||||||||||
Source | DF | SS | MS | F | p-value | |||||
Regression | 5 | 2197.68 | 439.5 | 9.68 | 0.000 | |||||
Residual Error | 59 | 2679.56 | 45.42 | |||||||
Total | 64 | 4877.24 | ||||||||
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. |
A.) Write out the regression equation. round 3 decimal places.
B.) State the decision rule for .05 significance level: H0: β1 = β2 = β3 =β4 =β5 =0; H1: Not all β's are 0. (Round your answer to 2 decimal places.)
C.) Compute the value of the F statistic. Round to 2 decimal places
D.) State the decision rule for each independent variable. Use the 0.05 significance level. Round 3 decimal places.
For X1 | For X2 | For X3 | For X4 | For X5 |
H0: β1 = 0 | H0: β2 = 0 | H0: β3 = 0 | H0: β4 = 0 | H0: β5 = 0 |
H1: β1 ≠ 0 | H1: β2 ≠ 0 | H1: β3 ≠ 0 | H1: β4 ≠ 0 | H1: β5 ≠ 0 |
Reject H0 if t<_______or t >_________.
A)
Y^ =8.366+0.225*X1-1.216*X2-0.070*X3+0.552*X4-0.049*X5
B)
F(0.05,5,59)= 2.37
reject Ho if F>2.37
C)
F=9.68
D)
t critical value, t(α/2,df) = 2.001
reject Ho if t < -2.001 or t >2.001
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