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The following regression is fitted using variables identified that could be related to student requested loan amount, LOAN-AMT(S) for returning students of a certain University. LOAN - AMT = a + B ACCEPT + y PREV + OUTS Where ACCEPT-the percentage of applicants that was accepted by the university, PREV= previous loan amount and OUTS "outstanding loan amount The data was processed using MNITAB and the following is an extract of the output obtained: EXHIBIT 2

The following regression is fitted using variables identified that could be related to student requested loan amount, LOAN-AMT(S) for returning students of a certain University. LOAN - AMT = a + B ACCEPT + y PREV + OUTS Where ACCEPT-the percentage of applicants that was accepted by the university, PREV= previous loan amount and OUTS "outstanding loan amount The data was processed using MNITAB and the following is an extract of the output obtained: EXHIBIT 2

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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find ** , solve fully using the formula and not exel

The following regression is fitted using variables identified that could be related to student requested loan amount, LOAN-AMT($) for returning students of a certain University. LOAN - AMT = a + B ACCEPT + y PREV + λ OUTS Where ACCEPT = the percentage of applicants that was accepted by the university, PREV= previous loan amount and OUTS-outstanding loan amount The data was processed using MNITAB and the following is an extract of the output obtained: Predictor Constant ACCEPT PREV OUTS S = 2685 Coef -26780 116.00 -4.21 70.85 R-Sq 69.6% Analysis of Variance Source DF Regression 3 Residual Error 49. Total 52 SS EXHIBIT 2 St Dev 6115 37.17 14.12 15.77 808139371 353193051 1161332421 T 3.14 -0.30 4.49 MS P 0.000 0.003 ** 269379790 7208021 0.000 R-Sq(adj)= 67.7% F 37.37 P 0.00
Transcribed Image Text:The following regression is fitted using variables identified that could be related to student requested loan amount, LOAN-AMT($) for returning students of a certain University. LOAN - AMT = a + B ACCEPT + y PREV + λ OUTS Where ACCEPT = the percentage of applicants that was accepted by the university, PREV= previous loan amount and OUTS-outstanding loan amount The data was processed using MNITAB and the following is an extract of the output obtained: Predictor Constant ACCEPT PREV OUTS S = 2685 Coef -26780 116.00 -4.21 70.85 R-Sq 69.6% Analysis of Variance Source DF Regression 3 Residual Error 49. Total 52 SS EXHIBIT 2 St Dev 6115 37.17 14.12 15.77 808139371 353193051 1161332421 T 3.14 -0.30 4.49 MS P 0.000 0.003 ** 269379790 7208021 0.000 R-Sq(adj)= 67.7% F 37.37 P 0.00
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