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

Q: Running a regression on 50 pairs o -0.309. At the .01 significance lev Yes, significant correlation

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A: It is needed to determine the type of correlation.

Q: significance level, does this show significant correlation?

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Q: Consider a hypothetical regression predicting if someone will be married or not by the age of 40,…

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Q: Consider a hypothetical regression predicting if someone will be married or not by the age of 40,…

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A: The residual is -11.04.

Q: What kind of hypothesis test or analysis should you do?

A: Test is that whether there is a relationship between age and income.

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Q: what ​% of the variation is ( height, or head circumference) explained by the​ least-squares…

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A: Given: x is the hourly wage  y  is the number of complaints α=20.2β=-1.20