Linear Statistical Models: Regression

Prediction Practice: Part 2


Predicting Standardized Writing Test Score

write, read and math are standardized tests, normed with mean = 50 and sd = 10.
gender is coded 1=male 2=female

Regression equation: write' = 6.45 + 5.4gender + .3read + .4math

1) What is the predicted write score for females with read=60 and math=55

2) What is the predicted write score for males with read=45 and math=50

3) What is the predicted write score for females with read=50 and math=50

4) What is the predicted write score for males with read=70 and math=80

5) What is the predicted write score for gender=2, read=70 and math=80

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


  Source |       SS       df       MS                  Number of obs =      51
---------+------------------------------               F(  3,    47) =   38.19
   Model |  6898744.52     3  2299581.51               Prob > F      =  0.0000
Residual |  2829730.23    47  60207.0261               R-squared     =  0.7091
---------+------------------------------               Adj R-squared =  0.6906
   Total |  9728474.75    50  194569.495               Root MSE      =  245.37

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   crime |      Coef.   Std. Err.       t     P>|t|       [95% Conf. Interval]
---------+--------------------------------------------------------------------
  hsgrad |  -5.522098     9.8632     -0.560   0.578       -25.3643     14.3201
 poverty |   .7805124   14.03845      0.056   0.956       -27.4612    29.02223
  single |   170.2942   20.77943      8.195   0.000       128.4914     212.097
   _cons |  -906.0376   846.7254     -1.070   0.290      -2609.429    797.3542
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Linear Statistical Models Course

Phil Ender, 18dec99