Question

The data from the sample were used to produce the following computer output (using R software): mean sd n GPA 2.6923 0.8300 35 Hours Playing 11.0429 5.3322 35 Coefficients: Std Error t value Prob Estimate 4.3363 -0.1489 0.0967 (Intercept) HoursPlaying 0.0000 44.84 -18.85 0.0079 0.0000 Analysis of Variance Table Response: GPA DF Mean Sq F value Prob 1 Sum Sa 21.4263 1.9935 21.4263 354.69 HoursPlaying Residuals 0.0000 33 0.0604

Answer 1

Answer :

The regression model generatd from the sample data is

Where Y= GPA of a student

X= hours playing

Intercept = 4.336

Slope = -0.1489

i.e GPA = 4.336 - 0.1486 * HoursPlaying

Reason : The regression model is give by Y= β0 + β1 * X

where : β0("beta-zero"): estimated y-intercept in a regression model

β1β1 ("beta-one"): estimated slope in a linear regression model.

Hope this helps