With the table below, which was obtained by using the student data, answer the following questions on building the regression model.

PREDICTOR (x)F-TESTADJUSTEDREGRESSION

VARIABLESP-VALUER2R2EQUATION

IQ, Hrs Studied, Age6.51x10-090.9730.966y =11.22+0.54 IQ+0.57 Hrs Studied+0.25 Age

IQ, Hrs Studied1.07x10-090.9680.963y =18.36+0.52 IQ+0.62 Hrs Studied

Hrs Studied, Age8.07x10-060.8580.835y =61.15+1.01 Hrs Studied+0.06 Age

IQ, Age5.01x10-060.8690.847y =-26.73+0.91 IQ+0.69 Age

IQ3.14x10-060.8220.809y =-13.96+0.96 IQ

Hrs Studied7.13x10-070.8580.847y =62.43+1.01 Hrs Studied

Age0.140670.1590.095y =49.06+1.24 Age

PART A.(3 pts)

If only one predictor (x) variable is used to predict Test Score, which single variable is best?Why?

PART B.(3 pts)

If exactly two predictor (x) variables are to be used to predict Test Score, which two variables should be chosen?Why?

PART C.(3 pts)

Which regression equation is best for predicting Test Score?Why?

PART D.(2 pts)

If a student with an IQ of 99 and studies 18 hours per week, what is the best predicted Test Score?

Is the predicted value likely to be a good estimate, meaning the variables adequately capture the variability in Test Score?Why?

Is the predicted value likely to be very accurate?Why?

PART E.(1 pts)

Before deciding that you are done with the regression analysis, is there something else that should be examined before concluding that the model is appropriate or not?