Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF...
Use the following ANOVA table for regression to answer the questions.
Analysis of Variance
| Source | DF | SS | MS | F | P |
| Regression | 1 | 3404.5 | 3404.5 | 22.3 | 0.000 |
| Residual Error | 174 | 26569.8 | 152.7 | ||
| Total | 175 | 29974.3 |
Give the F-statistic and p-value.
Enter the exact answers.
The F-statistic is 
?
The p-value is ?
Choose the conclusion of this test using a 5% significance
level.
| Reject H0. The model is effective. |
| Do not reject H0. We did not find evidence that the model is effective. |
| Reject H0. The model is not effective. |
| Do not reject H0. We did not find evidence that the model is not effective. |
Homework Answers
From given ANOVA table we get,
The F-statistic is, F = 22.3
The p-value is, p = 0.000
Since, p-value = 0.000 < 0.05, we reject the null hypothesis (H0).
Answer : Reject H0. The model is effective.
Add Answer to:
Use the following ANOVA table for regression to answer the
questions.
Analysis of Variance
Source
DF...
Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF...
Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 289.0 289.0 2.01 0.158 Residual Error 174 25021.2 143.8 Total 175 25310.2 Give the F-statistic and p-value. Enter the exact answers. The F-statistic is . The p-value is Choose the conclusion of this test using a 5% significance level. Do not reject H0. We did not find evidence that the model is effective. Reject H0. The model is...
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 5...
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 5 3,931.60 786.32 14.34 Residual Error 50 2,742.06 54.84 Total 55 6,673.66
The following table is the output of multiple linear regression analysis. a. Use the table to...
The following table is the output of multiple linear regression
analysis.
a. Use the table to report the F statistic. What is its degree of
freedom? What is the number of observations.
b. Find the p-value related to F on the computer output and report
its value. Using the p-value, test the significance of the
regression model at the .10, .05, .01, and .001 levels of
significance. What do you conclude?
Please show work and explain each step!
df ANOVA...
Chapter 9, Section 2, Exercise 032 Use the following ANOVA table for regression to answer the...
Chapter 9, Section 2, Exercise 032 Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 354.12 354.12 13.84 0.000 Residual Error 359 9186.81 25.59 Total 360 9540.93 Give the F-statistic and p-value. Enter the exact answers. The F-statistic is The p-value is
Use the table below to answer the following questions. Source df SS MS p-value A...
Use the table below to answer the following questions.
Source
df
SS
MS
p-value
A
1
1.36
1.360
0.266
B
1
0.622
0.622
0.451
AB
1
22.405
22.405
0.000
Error
132
143.948
1.091
x
Total
135
168.335
x
x
a) How many levels (a) are there for factor A?
b) How many levels (b) are there for factor B?
1) Test for treatment effect α=0.05
H0: No treatment effect vs Ha: There is some treatment
effect
F=
Reject H0...
The following ANOVA table is from a multiple regression analysis: MS F Source Regression Error...
The following ANOVA table is from a multiple regression
analysis:
MS F Source Regression Error Total df 5 25 SS 2000 2500 The observed F value is __ O 20 O 400 O 2000 O 500 O 10
ANOVA df SS Regression 1 882 Residual 20 4000 Total 21 4882 Coefficients Standard Error t...
ANOVA df SS Regression 1 882 Residual 20 4000 Total 21 4882 Coefficients Standard Error t Stat Intercept 5.00 3.56 Variable x 6.30 3.00 Use the ANOVA table that was provided in question 7 and Perform an F test and determine whether x and y are related. Use α = .05 Answer Options: Since the test statistic F = 3.45 < 4.35 ,Fail to reject HO Since the test statistic F = .45< 3.45, Fail to reject HO Since the...
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 5...
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 5 3710.00 742.00 12.89 Residual Error 46 2647.38 57.55 Total 51 6357.38 a-1. Determine the standard error estimate. (Round your answer to 2 decimal places.) a-2. About 95% of the residuals will be between what two values? (Round your answers to 2 decimal places.) b-1. Determine the coefficient of multiple determination. (Round your answer to 3 decimal places.) b-2. Determine the percentage variation for the...
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 4...
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 4 4,105.03 1,026.26 23.75 Residual Error 49 2,117.05 43.21 Total 53 6,222.08 a-1. Determine the standard error of estimate. (Round your answer to 2 decimal places.) a-2. About 95% of the residuals will be between what two values? (Round your answers to 2 decimal places.) b-1. Determine the coefficient of multiple determination. (Round your answer to 3 decimal places.) b-2. Determine the percentage variation for...
4 13 points consider this ANOVA table that was produced from by a simple linear regression...
4 13 points consider this ANOVA table that was produced from by a simple linear regression model to a dataset. While this is based on a real dataset, for the purposes of this pro will only describe the variables as the response variable (Y) and the explanatory van Analysis of Variance Source DF SS MS F P Regression 1 793.28 793.281 40.35 0.000 25 491.53 19.661 26 1284.81 Error Total n were NOT checked prior to producing this The assumption...
The following table is the output of multiple linear regression
analysis.
a. Use the table to report the F statistic. What is its degree of
freedom? What is the number of observations.
b. Find the p-value related to F on the computer output and report
its value. Using the p-value, test the significance of the
regression model at the .10, .05, .01, and .001 levels of
significance. What do you conclude?
Please show work and explain each step!
df ANOVA...
Chapter 9, Section 2, Exercise 032 Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 354.12 354.12 13.84 0.000 Residual Error 359 9186.81 25.59 Total 360 9540.93 Give the F-statistic and p-value. Enter the exact answers. The F-statistic is The p-value is
Use the table below to answer the following questions.
Source
df
SS
MS
p-value
A
1
1.36
1.360
0.266
B
1
0.622
0.622
0.451
AB
1
22.405
22.405
0.000
Error
132
143.948
1.091
x
Total
135
168.335
x
x
a) How many levels (a) are there for factor A?
b) How many levels (b) are there for factor B?
1) Test for treatment effect α=0.05
H0: No treatment effect vs Ha: There is some treatment
effect
F=
Reject H0...
The following ANOVA table is from a multiple regression
analysis:
MS F Source Regression Error Total df 5 25 SS 2000 2500 The observed F value is __ O 20 O 400 O 2000 O 500 O 10
4 13 points consider this ANOVA table that was produced from by a simple linear regression model to a dataset. While this is based on a real dataset, for the purposes of this pro will only describe the variables as the response variable (Y) and the explanatory van Analysis of Variance Source DF SS MS F P Regression 1 793.28 793.281 40.35 0.000 25 491.53 19.661 26 1284.81 Error Total n were NOT checked prior to producing this The assumption...
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