Dependent Variable: MU Sample: 134 Variable b BETA t-Statistic P-value Constant 7.292206 6.666348 0.0000 COLLEGE -0.115133 -0.23 -4.437697 0.0000 GROWTH 0.018898 0.01 1.718810 0.0880 SENIORS -0.022380 -0.24 -0.731017 0.4661 WAGE -0.0000294 -0.001 -0.874836 0.3833 R-squared 0.192456 Mean dependent var 3.852239 Adjusted R-squared 0.167416 S.D. dependent var 1.928368 Where MU = metropolitan area unemployment rate, COLLEGE = percentage of the metropolitan area population with a college degree, GROWTH = growth rate of the metropolitan area population, SENIORS = percentage of the metropolitan area population that is elderly, and WAGE = average metropolitan area wage How much variation in MU is explained by the independent variables? Which IVs are statistically significant predictors of MU at the 95% C.L.? Tell me which direction you expect the sign of each IV to be, and do the results match those expectations?
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Dependent Variable: MU |
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Sample: 134 |
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Variable |
b |
BETA |
t-Statistic |
P-value |
|
Constant |
7.292206 |
|
6.666348 |
0.0000 |
|
COLLEGE |
-0.115133 |
-0.23 |
-4.437697 |
0.0000 |
|
GROWTH |
0.018898 |
0.01 |
1.718810 |
0.0880 |
|
SENIORS |
-0.022380 |
-0.24 |
-0.731017 |
0.4661 |
|
WAGE |
-0.0000294 |
-0.001 |
-0.874836 |
0.3833 |
|
R-squared |
0.192456 |
Mean dependent var |
3.852239 |
|
|
Adjusted R-squared |
0.167416 |
S.D. dependent var |
1.928368 |
Where MU = metropolitan area unemployment rate, COLLEGE = percentage of the metropolitan area population with a college degree, GROWTH = growth rate of the metropolitan area population, SENIORS = percentage of the metropolitan area population that is elderly, and WAGE = average metropolitan area wage
- How much variation in MU is explained by the independent variables?
- Which IVs are statistically significant predictors of MU at the 95% C.L.?
- Tell me which direction you expect the sign of each IV to be, and do the results match those expectations?
- Which two variables have the least impact on MU?
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Regression explain the relationship between the independent and dependent variable. Every regression equation has only one dependent variable. For the multiple regression, the number of independent variable varies. It has two regressor coefficients, they are slope and intercept value.
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