Question: This problem is based on problems 18.1, 18.2, 18.9, & 18.10 from Lomax & Hahs-Vaughn, 3rd ed. You are given the following data, where X1X1
This problem is based on problems 18.1, 18.2, 18.9, & 18.10 from Lomax & Hahs-Vaughn, 3rd ed. You are given the following data, where X1X1 (final percentage in science class) and X2X2 (number of absences) are used to predict YY (standardized science test score in fourth grade):
| YY | X1X1 | X2X2 |
|---|---|---|
| 415 | 95 | 2 |
| 310 | 61 | 5 |
| 350 | 70 | 3 |
| 300 | 65 | 7 |
| 485 | 99 | 0 |
| 420 | 80 | 2 |
| 480 | 98 | 0 |
| 375 | 92 | 6 |
| 375 | 88 | 3 |
| 410 | 72 | 1 |
| 390 | 80 | 1 |
| 350 | 78 | 3 |
| 345 | 70 | 3 |
| 370 | 75 | 4 |
Determine the following multiple regression values. Report intercept and slopes for regression equation accurate to 3 decimal places: Intercept: a=a= Partial slope X1X1: b1=b1= Partial slope X2X2: b2=b2= Report sum of squares accurate to 3 decimal places: SSreg=SSreg= SSres=SSres= Test the significance of the overall regression model (report F-ratio accurate to 3 decimal places and P-value accurate to 4 decimal places): F-ratio = P-value = Report the variance of the residuals accurate to 3 decimal places: MSres=MSres= Report the test statistics for the regression coefficients accurate to 3 decimal places: t1=t1= t2=t2=
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