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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