Consider the following regression model: Dependent Variable: MU Sample: 134
Consider the following regression model:
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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
- Which two variables have the least impact on MU?
Solution
The given analysis is the regression analysis.
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