Question

Company is investigating the relationship between the monthly Sales (in $) and the demographic information about its customers. The demographic information are given by the following variables Age: Median age of customer base (in years) HS: Percentage of customer base with a high school diploma College: Percentage of customer base with a college degree Growth: Annual population growth rate of customer base Income: Median family income of customer base (in $) Minitab full regression analyses were made and the results are shown below: Backward Elimination of Terms with Candidate terms, Age, Growth, Income, HS, College ---Step 1--- --Step 2--- ---Step 3--- Coef P Coef P Coef P ---Step 4- Coef P -Step 5--- Coef P Constant 2270706 2248337 2384267 2126081 2969741 Age -27384 0.17 -28438 0.151-26107 0.15 -29076 1 0.17 8 0.96 Growth 2084 3 0.93 Income 2.4 2.1 0.944 7 0.08 HS 62735 0.01 62922 0.076 64498 3 60953 7 0.00 3 59660 0.00 2 College -570 0.84 -5103 0.839 -4732 0.84 2 5 S 848433 835508 823193 811809 802004 R-sq 24.45% 24.44% 24.43% 24.35% 24.05% R- 12.64% 15.28% 17.76% 20.02% sq(adj) 21.94% Using the Backward elimination method with $α_{out}=0.25$, the final model would have how many predictors?

Name: company is investigating the relationship between the monthly sales in and the demographic information about its customers the demographic information are given by the following variables ag 39823
Uploaded: 2022-12-13T16:29:11-08:00
Duration: 3 min 24 s
Channel: Sri K
Description: company is investigating the relationship between the monthly sales in and the demographic information about its customers the demographic information are given by the following variables ag 39823

          Company is investigating the
relationship between the monthly Sales (in $) and the demographic
information about its customers. The demographic information are given
by the following variables
Age: Median age of customer base (in years)
HS: Percentage of customer base with a high school diploma
College: Percentage of customer base with a college degree
Growth: Annual population growth rate of customer base
Income: Median family income of customer base (in $)
Minitab full regression analyses were made and the results are shown
below:
Backward Elimination of Terms with
Candidate terms, Age, Growth, Income, HS, College
---Step 1---
--Step 2---
---Step 3---
Coef P
Coef
P
Coef P
---Step 4-
Coef P
-Step 5---
Coef
P
Constant
2270706
2248337
2384267
2126081
2969741
Age -27384
0.17 -28438 0.151-26107
0.15
-29076
1
0.17
8
0.96
Growth 2084
3
0.93
Income 2.4
2.1
0.944
7
0.08
HS
62735
0.01
62922
0.076 64498
3
60953
7
0.00
3
59660
0.00
2
College -570
0.84
-5103
0.839 -4732
0.84
2
5
S
848433
835508
823193
811809
802004
R-sq
24.45%
24.44%
24.43%
24.35%
24.05%
R-
12.64%
15.28%
17.76%
20.02%
sq(adj)
21.94%
Using the Backward elimination method with $α_{out}=0.25$, the final model
would have how many predictors?

company is investigating the relationship between the monthly sales in and the demographic information about its customers the demographic information are given by the following variables ag 39823

Added by James R.

Question

Please give Ace some feedback