In a multiple regression analysis, two independent variables are considered, and the sample size is 26. The regression coefficients and the standard errors are as follows.
b1 = 1.468 | Sb1 = 0.89 |
b2 = −1.084 | Sb2 = 0.88 |
Conduct a test of hypothesis to determine whether either independent variable has a coefficient equal to zero. Would you consider deleting either variable from the regression equation? Use the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)
H0: β1 = 0 | H0: β2 = 0 | |
H1: β1 ≠ 0 | H1: β2 ≠ 0 | |
H0 is rejected if t < −2.069 or t > 2.069 |
Answer:
Given data
b1 = 1.468 | Sb1 = 0.89 |
b2 = −1.084 | Sb2 = 0.88 |
Null hypothesis H0 : β1 = 0
Alternative hypothesis H1: β1 ≠ 0
test statIstic t1 = b1/ Sb1
t1 = 1.468 / 0.89
t1 = 1.649
Therefore the value of test statistic t1 is 1.649
Now,
Null hypothesis H0 : β2= 0
Alternative hypothesis H1: β2 ≠ 0
test statIstic t2 = b2 / Sb2
test statIstic t2 = −1.084 / 0.88
test statIstic t2 = -1.232
Therefore the value of test statistic t2 is -1.232
In a multiple regression analysis, two independent variables are considered, and the sample size is 26....
In a multiple regression analysis, two independent variables are considered, and the sample size is 26. The regression coefficients and the standard errors are as follows. b1 = 1.468 Sb1 = 0.89 b2 = ?1.084 Sb2 = 0.88 Conduct a test of hypothesis to determine whether either independent variable has a coefficient equal to zero. Would you consider deleting either variable from the regression equation? Use the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round...
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