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 + 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 269379790 7208021 a) What is dependent and independent variables? b) Fully write out the regression equation c) What is the sample size used in this investigation? d) Fill in the blanks identified by *** and ****. e) Is B 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

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 + 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 269379790 7208021 a) What is dependent and independent variables? b) Fully write out the regression equation c) What is the sample size used in this investigation? d) Fill in the blanks identified by * and **. e) Is B 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

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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Question

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:
Predictor
Constant
ACCEPT
PREV
OUTS
S = 2685
Coef
-26780
116.00
-4.21
70.85
Analysis of Variance
R-Sq 69.6%
Source
DE SS
Regression
3
Residual Error 49
Total
52
EXHIBIT 2
StDev
6115
37.17
14.12
15.77
808139371
353193051
1161332421
T
*
3.14
-0.30
4.49
MS
269379790
7208021
a) What is dependent and independent variables?
b) Fully write out the regression equation
c) What is the sample size used in this investigation?
d) Fill in the blanks identified by *' and ****.
e) Is B 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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