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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 + ß ACCEPT + y PREV + A 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:

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 + ß ACCEPT + y PREV + A 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:

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The following regression is fitted using variables identified that could be related to student requested loan amount, LOAN-AMT($) for returning students of a certain University. LOAN AMT = a + ß ACCEPT + y PREV + λ OUTS Where ACCEPT = the percentage of applicants that was accepted by the university, PREV= previous loan amount and OUTS outstanding loan amount The data was processed using MNITAB and the following is an extract of the output obtained: Predictor Constant ACCEPT PREV OUTS S = 2685 Coef -26780 116.00 -4.21 70.85 R-Sq = 69.6% Analysis of Variance DF 3 Source Regression Residual Error 49 Total 52 SS EXHIBIT 2 St Dev 6115 37.17 14.12 15.77 808139371 353193051 1161332421 a) What is dependent and independent variables? b) Fully write out the regression equation T * 3.14 -0.30 4.49 MS 269379790 7208021 c) What is the sample size used in this investigation? d) Fill in the blanks identified by *** and ****. e) Is ẞ significant, at the 5% level of significance? P 0.000 0.003 ** 0.000 R-Sq (adj) = 67.7% F 37.37 P 0.00
Transcribed Image Text:The following regression is fitted using variables identified that could be related to student requested loan amount, LOAN-AMT($) for returning students of a certain University. LOAN AMT = a + ß 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 DF 3 Source Regression Residual Error 49 Total 52 SS EXHIBIT 2 St Dev 6115 37.17 14.12 15.77 808139371 353193051 1161332421 a) What is dependent and independent variables? b) Fully write out the regression equation T * 3.14 -0.30 4.49 MS 269379790 7208021 c) What is the sample size used in this investigation? d) Fill in the blanks identified by *** and ****. e) Is ẞ significant, at the 5% level of significance? P 0.000 0.003 ** 0.000 R-Sq (adj) = 67.7% F 37.37 P 0.00
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