T/F: An analysis was performed on data relating the number of weeks of experience in a job involving the wiring of electronic components and the number of components that were rejected during the past week for 12 randomly selected workers. The analysis is as follows: There is no apparent relationship between experience and rejects produced. True False
T/F: An analysis was performed on data relating the number of weeks of experience in a job involving the wiring of electronic components and the number of components that were rejected during the past week for 12 randomly selected workers. The analysis is as follows: There is no apparent relationship between experience and rejects produced. True False
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
T/F: An analysis was performed on data relating the number of weeks of experience in a job involving the wiring of electronic components and the number of components that were rejected during the past week for 12 randomly selected workers. The analysis is as follows:
There is no apparent relationship between experience and rejects produced.
True
False
![Regression Analysis
ANOVA table
Source
Regression
Residual
Total
r²
r
Std. Error
0.825
-0.908
2.636
SS
df
328.1901
1
69.4766
10
397.6667 11
n
k
Dep. Var.
35.4648
-1.3867
MS
Regression output
variables coefficients std. error t (df=10)
Intercept
Experience
1.7239
0.2018
328.1901
6.9477
20.573
-6.873
12
1
Rejects
F
p-value
47.24
4.34E-05
1.63E-09
4.34E-05
confidenc
p-value 95% lower
S
31.6238
-1.8363](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1ece6948-a6ed-4917-9cc1-92918a1ca1a3%2F5daa303f-8d06-43d1-924e-f11e4c4a990a%2Fbg20bx_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Regression Analysis
ANOVA table
Source
Regression
Residual
Total
r²
r
Std. Error
0.825
-0.908
2.636
SS
df
328.1901
1
69.4766
10
397.6667 11
n
k
Dep. Var.
35.4648
-1.3867
MS
Regression output
variables coefficients std. error t (df=10)
Intercept
Experience
1.7239
0.2018
328.1901
6.9477
20.573
-6.873
12
1
Rejects
F
p-value
47.24
4.34E-05
1.63E-09
4.34E-05
confidenc
p-value 95% lower
S
31.6238
-1.8363
![alysis
r²
r
Std. Error
0.825
-0.908
2.636
SS
df
328.1901
1
69.4766
10
397.6667 11
tput
k
Dep. Var.
35.4648
-1.3867
MS
328.1901
6.9477
coefficients std. error t (df=10)
1.7239
0.2018
20.573
-6.873
12
1
Rejects
F
p-value
47.24
1.63E-09
4.34E-05
4.34E-05
confidence interval
95% upper
p-value 95% lower
31.6238
-1.8363
39.3059
-0.9372](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1ece6948-a6ed-4917-9cc1-92918a1ca1a3%2F5daa303f-8d06-43d1-924e-f11e4c4a990a%2Fncm0be_processed.jpeg&w=3840&q=75)
Transcribed Image Text:alysis
r²
r
Std. Error
0.825
-0.908
2.636
SS
df
328.1901
1
69.4766
10
397.6667 11
tput
k
Dep. Var.
35.4648
-1.3867
MS
328.1901
6.9477
coefficients std. error t (df=10)
1.7239
0.2018
20.573
-6.873
12
1
Rejects
F
p-value
47.24
1.63E-09
4.34E-05
4.34E-05
confidence interval
95% upper
p-value 95% lower
31.6238
-1.8363
39.3059
-0.9372
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