Please see contents in the image attached for questions below:  Thank you! 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 β significant, at the 5% level of significance?

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Please see contents in the image attached for questions below:  Thank you!

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 β significant, at the 5% level of significance?

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