The accompanying table shows the regression results when estimating y = β0 + β1x + ε.
Coefficients |
Standard Error |
t-stat |
p-value |
|
Intercept |
0.083 |
3.56 |
0.9822 |
|
x |
1.417 |
0.63 |
0.0745 |
When testing whether the slope coefficient differs from 1, the value of the test statistic is ____.
0.66
1.42
1.96
2.25
According to the table the final simple linear regression equation is :
Where is the response variable , is the only independent variable and is the error part in the model.
Now to test vs we need to follow the following procedure.
Now as the errors , the observations .
Now is a linear combination of the observations , so is normally distributed with mean and variance . Therefore the statistic
is distributed if the null hypothesis is true. if is known , we could use to test the hypotheses . Typically is unknown , we know that is an unbiased estimator of .
Now and that and are independent .
therefore follows distribution if the null hypothesis is true.
Now
therefore
which is the desired value of the test statistic.
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