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You are given the following data, where X1 (GRE total score) and X2 (undergraduate GPA) are used to predict Y (graduate GPA): . Y X1 X2 3 100 3.2 3 105 2.4 3.4 95 3 4 130 2.6 3.2 125 2 .8 3.6 110 3.5 3.6 135 2.6 3.1 90 2.8 Determine the following multiple regression values. Report intercept and slopes for regression equation accurate to 3 decimal places: Intercept: a = Partial slope X1: b1 = Partial slope X2: b2 = Report sum of squares accurate to 3 decimal places: SSreg = 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-stat = P-value = Report the variance of the residuals accurate to 3 decimal places: MSres = Report the standard error (s) of the partial slope estimate for GRE total along with the test statistic report answers accurate to 3 decimal places): s (61 ) = t1 = Question Help: [ Video 1 Video 2 D Post to forum Submit Question @ # $ % &myopenmath.com You are given the following data, where X1 (final percentage in science class) and X2 (number of absences) are used to predict Y (standardized science test score in fourth grade): Y X1 X2 310 61 5 390 80 1 350 70 3 350 78 3 300 65 345 70 w 485 99 0 420 80 2 410 72 1 480 98 0 375 88 3 375 92 6 415 95 2 Determine the following multiple regression values. Report intercept and slopes for regression equation accurate to 3 decimal places: Intercept: a = Partial slope X1: b1 = Partial slope X2: 62 = Report sum of squares and coefficient of multiple determination accurate to 3 decimal places: R2 = 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-stat = P-value = Enter 0 if your software indicates that p