You are given the following data, where X1 (final percentage in history class) and X2 (number of absences) are used to predict Y (standardized history test score in fourth grade): Y | X1 | X2 390 80 1 465 92 345 70 3 420 80 2. 310 61 450 89 1 375 92 6 350 78 3 415 95 2 400 82 410 72 1 300 65 7 485 99 370 75 4 Determine the following multiple regression values. Report intercept and slopes for regression equation accurate to 3 decimal places: Intercept: a = Partial slope X1: bị= Partial slope X3: bz = Report sum of squares accurate to 3 decimal places: 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: Report the test statistics for the regression coefficients accurate to 3 decimal places: t1 = t = ol

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You are given the following data, where X1 (final percentage in history class) and X2 (number of
absences) are used to predict Y (standardized history test score in fourth grade):
X1 X2
390
80
1
465
92
2.
345
70
3
420
80
2
310
61
450
89
1
375
92
350
78
415
95
2
400
82
410
72
1
300
65
7
485
99
370
75
4
Determine the following multiple regression values.
Report intercept and slopes for regression equation accurate to 3 decimal places:
Intercept: a =
Partial slope X1: b =
Partial slope X2: bq =
Report sum of squares accurate to 3 decimal places:
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:
Sres =
Report the test statistics for the regression coefficients accurate to 3 decimal places:
ti
tą =
%3D
Transcribed Image Text:You are given the following data, where X1 (final percentage in history class) and X2 (number of absences) are used to predict Y (standardized history test score in fourth grade): X1 X2 390 80 1 465 92 2. 345 70 3 420 80 2 310 61 450 89 1 375 92 350 78 415 95 2 400 82 410 72 1 300 65 7 485 99 370 75 4 Determine the following multiple regression values. Report intercept and slopes for regression equation accurate to 3 decimal places: Intercept: a = Partial slope X1: b = Partial slope X2: bq = Report sum of squares accurate to 3 decimal places: 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: Sres = Report the test statistics for the regression coefficients accurate to 3 decimal places: ti tą = %3D
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