The regression analysis was rerun below dropping variables X4, X5, and X6.
Term |
Coef |
SE Coef |
T-Value |
Constant |
-5.1 |
14.7 |
-0.35 |
X 1 |
12.44 |
2.32 |
5.36 |
X 3 |
6.41 |
1.70 |
3.76 |
X 7 |
0.0979 |
0.0510 |
1.92 |
X 9 |
-0.0263 |
0.0146 |
-1.80 |
Use the t test at the 0.05 level of significance to determine the significance of each independent variable.
Degree of freedom = n - k - 1 (where k is number of predictor variables in the model)
= 50 - 4 - 1 = 45
T critical point for 0.05 level of significance and df = 45 is 2.014
The independent variables are significant for which T-value < -2.014 or T-value > 2.014
T-value of X1 and X3 are greater than 2.014. Thus the variable X1 and X3 are significant variables in the model.
T-value of X7 and X9 are lie between -2.014 and 2.014. Thus the variable X7 and X9 are non-significant variables in the model.
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