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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
find ** , solve fully using the formula and not exel
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
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps with 2 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman