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 and coefficient of multiple determination accurate to 3 decimal places: R2=R2= SSTotal=SSTotal= 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 results for the hypothesis test for the significance of the partial slope for number of absences (report the test statistic for the regression coefficients accurate to 3 decimal places and P-value accurate to 4 decimal places): t2=t2= P-value =
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 and coefficient of multiple determination accurate to 3 decimal places: R2=R2= SSTotal=SSTotal= 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 results for the hypothesis test for the significance of the partial slope for number of absences (report the test statistic for the regression coefficients accurate to 3 decimal places and P-value accurate to 4 decimal places): t2=t2= P-value =
Algebra and Trigonometry (MindTap Course List)
4th Edition
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section1.FOM: Focus On Modeling: Fitting Lines To Data
Problem 10P
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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 history class) and X2X2 (number of absences) are used to predict YY (standardized history test score in third grade):
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 and coefficient of multiple determination accurate to 3 decimal places:
R2=R2=
SSTotal=SSTotal=
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 results for the hypothesis test for the significance of the partial slope for number of absences (report the test statistic for the regression coefficients accurate to 3 decimal places and P-value accurate to 4 decimal places):
t2=t2=
P-value =
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 third grade):
YY | X1X1 | X2X2 |
---|---|---|
375 | 88 | 3 |
375 | 92 | 6 |
415 | 95 | 2 |
350 | 78 | 3 |
480 | 98 | 0 |
345 | 70 | 3 |
370 | 75 | 4 |
450 | 89 | 1 |
485 | 99 | 0 |
310 | 61 | 5 |
390 | 80 | 1 |
410 | 72 | 1 |
420 | 80 | 2 |
400 | 82 | 0 |
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 and coefficient of multiple determination accurate to 3 decimal places:
R2=R2=
SSTotal=SSTotal=
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 results for the hypothesis test for the significance of the partial slope for number of absences (report the test statistic for the regression coefficients accurate to 3 decimal places and P-value accurate to 4 decimal places):
t2=t2=
P-value =
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