Using the regression table I created, how should I perform the F-Test at 0.05 level of significance and T-Test? How do I arrive at a decision after this?
Using the regression table I created, how should I perform the F-Test at 0.05 level of significance and T-Test? How do I arrive at a decision after this?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 3GP
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Question
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Using the regression table I created, how should I perform the F-Test at 0.05 level of significance and T-Test? How do I arrive at a decision after this?
![2
B
Regression Analysis
Regression Statistics
4 Multiple R
5 R Square
5 Adjusted R Square
7 Standard Error
3
Observations
9
0 ANOVA
1
2 Regression
3 Residual
4 Total
5
6
7 Intercept
8 Asking Price
9 Age
0
1
2
3
0.9915
0.9830
0.9824
108.8113
df
61
SS
MS
F
2 39731441.7245 19865720.8622 1677.8619
11839.9024
58 686714.3411
60 40418156.0656
Coefficients Standard Error
-90.2166
113.1013
9.2169
0.1716
2.5069
0.8994
E
t Stat
P-value
-0.7977 0.4283
53.7184 0.0000
2.7873 0.0072
Significance F
0.0000
Lower 95%
-316.6134
8.8735
0.7065
Upper 95%
136.1802
9.5604
4.3073
Lower 95%
-316.6134
8.8735
0.7065
Upper 95%
136.1802
9.5604
4.3073
A
b2, b1, b0 intercepts
b2, b1, b0 Standard Error
R Square, Standard Error
F, Residual df
Regression SS, Residual SS
Confidence level
t Critical Value
Half Width b0
Half Width b1
Half Width b2
Calculations
9.2169 -90.2166
2.5069
0.8994
0.9830
1677.8619
39731441.72 686714.3411 #N/A
0.1716 113.1013
108.8113 #N/A
58 #N/A
7
7
95%
2.0017
226.3968
0.3435
1.8004
IN
✓](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbfd92378-ff54-49ec-a5cd-cf2154b29b1a%2F8427c6e0-84cc-443f-b6cd-841c139da418%2Fx1aefy_processed.jpeg&w=3840&q=75)
Transcribed Image Text:2
B
Regression Analysis
Regression Statistics
4 Multiple R
5 R Square
5 Adjusted R Square
7 Standard Error
3
Observations
9
0 ANOVA
1
2 Regression
3 Residual
4 Total
5
6
7 Intercept
8 Asking Price
9 Age
0
1
2
3
0.9915
0.9830
0.9824
108.8113
df
61
SS
MS
F
2 39731441.7245 19865720.8622 1677.8619
11839.9024
58 686714.3411
60 40418156.0656
Coefficients Standard Error
-90.2166
113.1013
9.2169
0.1716
2.5069
0.8994
E
t Stat
P-value
-0.7977 0.4283
53.7184 0.0000
2.7873 0.0072
Significance F
0.0000
Lower 95%
-316.6134
8.8735
0.7065
Upper 95%
136.1802
9.5604
4.3073
Lower 95%
-316.6134
8.8735
0.7065
Upper 95%
136.1802
9.5604
4.3073
A
b2, b1, b0 intercepts
b2, b1, b0 Standard Error
R Square, Standard Error
F, Residual df
Regression SS, Residual SS
Confidence level
t Critical Value
Half Width b0
Half Width b1
Half Width b2
Calculations
9.2169 -90.2166
2.5069
0.8994
0.9830
1677.8619
39731441.72 686714.3411 #N/A
0.1716 113.1013
108.8113 #N/A
58 #N/A
7
7
95%
2.0017
226.3968
0.3435
1.8004
IN
✓
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