B. For the following data: a. Find the regression equation for predicting Y from X. b. Use the regression equation to find a predicted Y for each X. c. Find the difference between the actual Y value ar the predicted Y vol.

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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How many pairs of scores, X and
Y values, are in the sample?
18. For the following data:
a. Find the regression equation for predicting
Y from X.
b. Use the regression equation to find a predicted Y
for each X.
c. Find the difference between the actual Y value and
the predicted Y value for each individual, square
the differences, and add the squared values to
obtain SS
d. Calculate the Pearson correlation for these data. Use
residual"
2 and SS, to compute SS
You should obtain the same value as in part c.
with Equation 16.10.
residual
Y
9.
3
4
9. A multiple-regression equation with two predictor
variables produces R2 = .38.
a. If SS, = 40 for a sample of n
20 individuals,
ifinont nortion
354 255
Transcribed Image Text:How many pairs of scores, X and Y values, are in the sample? 18. For the following data: a. Find the regression equation for predicting Y from X. b. Use the regression equation to find a predicted Y for each X. c. Find the difference between the actual Y value and the predicted Y value for each individual, square the differences, and add the squared values to obtain SS d. Calculate the Pearson correlation for these data. Use residual" 2 and SS, to compute SS You should obtain the same value as in part c. with Equation 16.10. residual Y 9. 3 4 9. A multiple-regression equation with two predictor variables produces R2 = .38. a. If SS, = 40 for a sample of n 20 individuals, ifinont nortion 354 255
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