Consider a hypothetical regression predicting if someone will be married or not by the age of 40, MARRIED? (1 means this person is married by the age of 40 and 0 means this person is not married by the age of 40). The regression is as follows (all variables are statistically significant): MARRIED? = 0.2 + 0.03*EDUCATION - 0.01*BMI Where EDUCATION is the number of years of education someone's had and BMI is their body mass index. Suppose someone had 20 years of education and a BMI of 25. Complete this sentence: For every additional year of education someone has:... a ...their chance of getting married by 40 increases by 0.03 percentage points. b ...their chance of getting married by 40 increases by 3 percentage points. c ...their chance of getting married by 40 increases by 0.03. d ...their chance of getting married by 40 increases by 3%. e This regression means nothing because the dependent variable is a dummy variable.
Consider a hypothetical regression predicting if someone will be married or not by the age of 40, MARRIED? (1 means this person is married by the age of 40 and 0 means this person is not married by the age of 40).
The regression is as follows (all variables are statistically significant):
MARRIED? = 0.2 + 0.03*EDUCATION - 0.01*BMI
Where EDUCATION is the number of years of education someone's had and BMI is their body mass index.
Suppose someone had 20 years of education and a BMI of 25.
Complete this sentence:
For every additional year of education someone has:...
| a |
...their chance of getting married by 40 increases by 0.03 percentage points. |
|
| b |
...their chance of getting married by 40 increases by 3 percentage points. |
|
| c |
...their chance of getting married by 40 increases by 0.03. |
|
| d |
...their chance of getting married by 40 increases by 3%. |
|
| e |
This regression means nothing because the dependent variable is a dummy variable. |
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