Question

Use the accompanying regression constants and coefficients to complete parts​ (a) through​ (e) below.

A. Constant= 1.4. Coefficient b1= 0.8 Coefficient b2= -0.6 Coefficient b3= 9.73

B. Constant= 9.7 Coefficient b1= -0.6 Coefficient b2= 11.1 Coefficient b3= -8.96

C. Constant= 2.6 Coefficient b1= 0.2 Coefficient b2= 6.39 Coefficient b3= 3.42

D. Constant= 9.3 Coefficient b1= -0.8 Coefficient b2= 21.72 Coefficient b3= 1.38

(a) Determine the multiple linear prediction rule for predicting criterion variable Y from predictor variables Upper X 1, Upper X 2, and Upper X 3 using row​ (a-d).

(e) Figure the predicted score on the criterion variable for part​ (a) for a person with scores on the predictor variables of Upper X 1= 2, Upper X 2= 7, and Upper X 3= 9.

Answer 1

2 A The regression eq? is, ŷ = 1.4 +0.8x1 -0.6 x2 + 9.78 43 = 1.4 +0.8 (2) - 0.6(7) +9.73 (9) 1.4 + 1.6 - 4.2 +87.57 = 86.3+ itt ® The regression equis, ŷ = 9.7 0.6x1+11.172-8.96x3 9.7 -0.6(2) + 11.12) -8-9609) Eg.7 - 1.2 t 77.7 80.64 Ans. - 5.56 The regression eqn is, 2.6 +0.2x1 + 6.39 x 2 +3.42 xz = 2-6 + (0.22) + (6.3947) + (9.4249) = 2.6 to 4 + 44.73 + 30. 78 Ans. 78.51 - The progression eqn is, û 9.3 -0-8 X1 + 21.72 x 2 + 1.38 X3 29,3 - (0.872) + (21.72x7) + (1.38x3) =9.3 -1.6 + 152.04 + 12.42 Ans. 12.16