ou are given the following data, where X1X1 (final percentage in history class) and X2X2 (number of absences) are used to predict YY (standardized history test score in fourth grade): X1X1 X2X2 YY 88 3 375 99 0 485 75 4 370 80 2 420 80 1 390 78 3 350 98 0 480 95 2 415 92 6 375 61 5 310 82 0 400 70 3 350
You are given the following data, where X1X1 (final percentage in history class) and X2X2 (number of absences) are used to predict YY (standardized history test score in fourth grade):
| X1X1 | X2X2 | YY |
|---|---|---|
| 88 | 3 | 375 |
| 99 | 0 | 485 |
| 75 | 4 | 370 |
| 80 | 2 | 420 |
| 80 | 1 | 390 |
| 78 | 3 | 350 |
| 98 | 0 | 480 |
| 95 | 2 | 415 |
| 92 | 6 | 375 |
| 61 | 5 | 310 |
| 82 | 0 | 400 |
| 70 | 3 | 350 |
Determine the following multiple regression values.
Report intercept and slopes for regression equation accurate to at least 2 decimal places:
Intercept: b0=b0=
Partial slope X1X1: b1=b1=
Partial slope X2X2: b2=b2=
Report the coefficient of multiple determination for the model (NOT the adjusted R2R2) and the sum of squares total accurate to at least 2 decimal places:
R2=R2=
SSTotal=SSTotal=
Test the significance of the overall regression model.
F-test statistic =
P-value =
Report the Mean Squares residuals accurate to 2 decimal places:
Report the test statistics for the regression coefficients accurate to 2 decimal places:
The test statistics for b1b1, t=t=
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