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? 2BRegression AnalysisRegression Statistics4 Multiple R5 R Square5 Adjusted R Square7 Standard Error3Observations90 ANOVA12 Regression3 Residual4 Total567 Intercept8 Asking Price9 Age01230.99150.98300.9824108.8113df61SSMSF2 39731441.7245 19865720.8622 1677.861911839.902458 686714.341160 40418156.0656Coefficients Standard Error-90.2166113.10139.21690.17162.50690.8994Et StatP-value-0.7977 0.428353.7184 0.00002.7873 0.0072Significance F0.0000Lower 95%-316.61348.87350.7065Upper 95%136.18029.56044.3073Lower 95%-316.61348.87350.7065Upper 95%136.18029.56044.3073Ab2, b1, b0 interceptsb2, b1, b0 Standard ErrorR Square, Standard ErrorF, Residual dfRegression SS, Residual SSConfidence levelt Critical ValueHalf Width b0Half Width b1Half Width b2Calculations9.2169 -90.21662.50690.89940.98301677.861939731441.72 686714.3411 #N/A0.1716 113.1013108.8113 #N/A58 #N/A7795%2.0017226.39680.34351.8004IN✓

Given that: n=61 observationk= 2 independent variables The multiple regression output table is…

Answered: Using the regression table I created,…

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

100%

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
✓

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