Question

T F 10. The statistical concept of parsimony tells us to add more X variables to our regression equation in order to maximize prediction accuracy.

______11. We are predicting salary based on GPA and generate this regression equation; y = .432 + 6.38(x). A student in our study with a GPA of 3.36 earned $17,941. The residual (rounded to nearest dollar) for this student would be:

A.   $941                 C.   $3,929

B.   $2,144               D.   not enough information to calculate.

T F 12. The Salsberry Realty multiple regression equation tells us that cost to heat the home goes down by $14.831 for each additional inch of insulation added.

T F 13. The closer the x y coordinates are to a straight line the stronger the strength of the relationship between x and y.

T F 14. Attempts to predict y values outside the relevant range of the x variables being considered is called interpolation and is risky.

Answer 1

ANSWER::

10. False : it focus on less but explanatory variables

11. Residual $(21869-17941)

= $ 3928 near value 3929

Oprion:: (c) is correct

12.True

13. True

14. False : it is called extrapolation

(OR)

**Please give me "like".....don't skip....its very important for me now.....

NOTE:: I HOPE YOUR HAPPY WITH MY ANSWER....***PLEASE SUPPORT ME WITH YOUR RATING...