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. What is the predicted value of MARRIAGE
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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. What is the predicted value of MARRIAGE?
0.35, which makes sense even though MARRIED? can only be a zero or one
0, because the calculated value is 0.35 so we round down.
0.55, which makes sense even though MARRIED? can only be a zero or one.
Calculating a predicted value should not be done here because the dependent variable is a dummy variable.
1, because the calculated value is 0.55 so we round up.
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