Complete the following table. (Leave no cells blank - be certain to enter "0" wherever required. Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.) Predictor Constant Loan Monthly Payment Payments Made XqXz t-value Coefficient SE Coefficient Compute the value corresponding to the interaction term. (Negative amount should be indicated by a minus sign. Round your answer to 2 decimal places.) This is p-value Do a test of the null hypothesis to check if the interaction is significant. (Use the 0.05 significance level) so we conclude that there is
Complete the following table. (Leave no cells blank - be certain to enter "0" wherever required. Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.) Predictor Constant Loan Monthly Payment Payments Made XqXz t-value Coefficient SE Coefficient Compute the value corresponding to the interaction term. (Negative amount should be indicated by a minus sign. Round your answer to 2 decimal places.) This is p-value Do a test of the null hypothesis to check if the interaction is significant. (Use the 0.05 significance level) so we conclude that there is
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
H11.
Account

Transcribed Image Text:Complete the following table. (Leave no cells blank - be certain to enter "0" wherever required. Negative amounts should be
indicated by a minus sign. Round your answers to 3 decimal places.)
Predictor
Constant
Loan
Monthly Payment
Payments Made
X1X3
E-value
Coefficient.
SE Coefficient
Compute the I-value corresponding to the interaction term. (Negative amount should be indicated by a minus sign. Round your
answer to 2 decimal places.)
A
This is
p-value
Do a test of the null hypothesis to check if the interaction is significant. (Use the 0.05 significance level)
so we conclude that there is

Transcribed Image Text:You are a new hire at Laurel Woods Real Estate, which specializes in selling foreclosed homes via public auction. Your boss has asked
you to use the following data (mortgage balance, monthly payments, payments made before default, and final auction price) on a
random sample of recent sales to estimate what the actual auction price will be.
Loan
$ 85,603
112,811
110,169
107,693
97,600
104,400
113,000
116,400
100,000
92,500
105,200
105,000
94,700
105,600
104,100
85,700
113,600
119,400
90,600
104,500
Monthly
Payments
$1,075.55
Auction Price
974.97
739.20
811.84
908.16
983.27
1,075.54
1,087.16
900.01
683.11
915.24
905.67
810.70
891.33
864,38
1,074.73
871.61
1,021.23
836.46
1,056.37
Payments
Made
1
38
11
10
24
13
22
35
33
36
34
38
25
20
7
30
24
5-8
3
22
Auction Price
$71,175
63,950
45,650
16,600
40,700
63,100
72,600
72,300
58,100
37,100
52,600
51,900
43,200
52,600
42,700
22,200
77,000
69,000
35,600
63,000
Add a new variable that describes the potential interaction between the loan amount and the number of payments made. Then do a
test of hypothesis to check if the interaction is significant.
Click here for the Excel Data File
Determine the regression equation (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal
places.)
Loan
Monthly Payment
Payments Made
X1X
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