Linear Statistical Models: Regression

Prediction Practice: Part 1

Predicting GPA

Regression equation: gpa' = 2.8 + .0009satv

1) What is the predicted gpa for satv=550

2) What is the predicted gpa for satv=650

3) What is the predicted gpa for satv=700

4) What is the predicted gpa for satv=780

5) What is the predicted gpa for satv=0
(does this make sense?)

6) Write the regression prediction equation for predicting crime from the following regression results:


  Source |       SS       df       MS                  Number of obs =      51
---------+------------------------------               F(  1,    49) =   17.18
   Model |  2525496.21     1  2525496.21               Prob > F      =  0.0001
Residual |  7202978.54    49  146999.562               R-squared     =  0.2596
---------+------------------------------               Adj R-squared =  0.2445
   Total |  9728474.75    50  194569.495               Root MSE      =  383.41

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   crime |      Coef.   Std. Err.       t     P>|t|       [95% Conf. Interval]
---------+--------------------------------------------------------------------
 poverty |   49.02537   11.82784      4.145   0.000       25.25643    72.79431
   _cons |  -86.20093   176.9902     -0.487   0.628      -441.8761    269.4743
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Linear Statistical Models Course

Phil Ender, 18dec99