Question
Using the models 1-2, answer the following questions 1. What is a confidence interval? In model 1 below, calculate The t-value for the coefficient of
Using the models 1-2, answer the following questions
1. What is a confidence interval? In model 1 below, calculate
- The t-value for the coefficient of renter.
- The 95% confidence interval for the coefficient of renter, where the t0.025 ~ 1.96. Is the coefficient statistically significant?
2. Define the R2 statistic.
3. In Model 1 below, we want to test the joint hypothesis that the coefficients on "Mortgage Payer", "Renter" and "Married" are jointly zero. We estimate a restricted model 2. How do we do test for the significance of the null hypothesis? Carry out this test.
Model 1.
Source | SS | Df | MS | Number of obs | 2995 |
F(7, 2987) | 198.97 | ||||
Model | 15652624 | 7 | 2236089 | Prob > F | |
Residual | 33568672 | 2987 | 11238.26 | R-squared | |
Total | 49221296 | 2994 | 16439.98 | Root MSE | 106.01 |
Earnings | Coef. | Std. Err. | t | P>t | [95% Conf. | Interval] |
Mortgage Payer | 14.33137 | 4.620061 | 3.1 | 0.002 | 5.272548 | 23.39019 |
Renter | 11.14287 | 5.838434 | ||||
Married | 9.252644 | 6.220546 | 1.49 | 0.137 | -2.94434 | 21.44963 |
Pension Scheme Memb. | 53.74266 | 4.625375 | 11.62 | 0 | 44.67342 | 62.8119 |
Years of Education | 16.93454 | 0.798126 | 21.22 | 0 | 15.36961 | 18.49947 |
Years of Experience | 9.021747 | 0.638824 | 14.12 | 0 | 7.769168 | 10.27433 |
Years of Experience2 | -0.13793 | 0.012611 | -10.94 | 0 | -0.16266 | -0.1132 |
Constant | -132.538 | 11.42962 | -11.6 | 0 | -154.949 | -110.127 |
Model 2.
Source | SS | df | MS | Number of obs | 2995 |
F( 4, 2990) | 334.94 | ||||
Model | 15230438 | 4 | 3807610 | Prob > F | 0 |
Residual | 33990858 | 2990 | 11368.18 | R-squared | 0.3094 |
Total | 49221296 | 2994 | 16439.98 | Root MSE | 106.62 |
Earnings | Coef. | Std. Err. | t | P>t | [95% Conf. | Interval] |
Pension Scheme Memb. | 58.09067 | 4.596827 | 12.64 | 0 | 49.0774 | 67.10393 |
Years of Education | 17.63035 | 0.790479 | 22.3 | 0 | 16.08041 | 19.18029 |
Years of Experience | 10.42731 | 0.534379 | 19.51 | 0 | 9.379517 | 11.47509 |
Years of Experience2 | -0.16268 | 0.011396 | -14.28 | 0 | -0.18502 | -0.14033 |
Constant | -139.151 | 11.18556 | -12.44 | 0 | -161.083 | -117.219 |
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