QUESTION 12 A researcher wants to build a model to estimate life expectancy base

Question

QUESTION 12

A researcher wants to build a model to estimate life expectancy based on a variety of measures. He obtains data on age of death, cigarettes smoked per day, exercise per day (in hours), and hours slept per night. He then fits a regression model to the data. In this model, what value would you expect to see for the coefficient on cigarettes smoked per day?

B < 0

B = 0

B > 0

B=1.2

QUESTION 13

Referring to the same regression equation as in problem 12, what value would you expect the coefficient on hours exercised to take?

B < 0

B = 0

B > 0

B = 0.97

QUESTION 14

Referring to the regression equation in question 12, how many coefficientswould be estimated in this model?

3

4

5

6

QUESTION 15

A fitted multiple regression equation can tell you which of the following:

The predicted response for any set of values of the independent variables.

The strength of the association between the dependent and independent variables.

The direction of the association between the dependent and independent variables.

All of the above

B < 0

B = 0

B > 0

B=1.2

Explanation / Answer

Q12) Option A is Correct. B < 0 , because if cigarettes smoked per day inecreases, then life expectancy will decrease. So, there is a negatuve relationship

Q) 13) B > 0, because uf you exercise daily, life expectancy will increase

q14) 4. Option B is Correct

Q15) All of the above. Option D is Correct

Related Questions

Navigate

• Browse (All)
• Browse Q
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.