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Given the following portion of regression results, What is the value of the F test statistic?...
Given the following portion of regression results, What is the value of the F test statistic?...
Given the following portion of regression results, What is the value of the F test statistic? 1 pts df SS MSF Significance F Regression 23,500 1.750 ??? 0.1000 Residual 20 13,500 675 Total 22 17,000 O 10 O 3.49 O 2.59 O 1.96
QUESTION 27 Q27. A manager at a local bank analyzed the relationship between monthly salary (y,...
QUESTION 27 Q27. A manager at a local bank analyzed the relationship between monthly salary (y, in $) and length of service (x, measured in months) for 30 employees. She estimates the model: Salary = Bo + B1 Service + ε. The following ANOVA table below shows a portion of the regression results. df SS M S F Regression 555,420 555,420 7.64 Residual 27 1,962,873 72,699 Total 28 2 ,518,293 Coefficients Standard Error t-stat p-value Intercept 784.92 322.25 2.44 0.02...
What is the table (critical value) or the f test statistic assuming 5% significance level? A...
What is the table (critical value) or the f test statistic
assuming 5% significance level?
A researcher is interested to find out how the engine displacement vehicle weight, and the type of transmission [i.e. automatic & manual] affect the automobile gasoline mileage. Type of transmission is represented by one dummy variable: automatic (-1, if transmission is automatic;-0, if transmission is manual) Part of the raw data and the regression output of 40 different car models are given below. Automobile Miles/gallon...
Consider the excel regression above. What null hypothesis is the (default) F-test, which is reported on the results, testing? What is the calculated F-statistic value and what is the p-value of the te...
Consider the excel regression
above. What null hypothesis is the (default) F-test, which is
reported on the results, testing? What is the calculated
F-statistic value and what is the p-value of the test? How many
numerator degrees of freedom (restrictions) are involved?
Regression Statistics MultipleR 0.267643168 0.071632865 R Square Adj R Square 0.068838449 Standard Error571.4177199 Observations 3000 ANOVA df Significance F MS 9 75330553.98 8370061.553 25.634287096.23834E-43 Regression Residual 2990976289449.8 326518.2106 Total 2999 1051620004 Coefficients Standard ErrortStat P-value Lower 95% Upper...
A regression model relating 3, number of salespersons at a branch office, to y, annual sales...
A regression model relating 3, number of salespersons at a branch office, to y, annual sales at the office in thousands of dollars) provided the following computer output from a regression analysis of the data. Where ntotal = 32. ANOVA df MSF Significance F SS 6863.5 Regression Residual Total 9342.6 Stat P-value Intercept Number of Salespersons Coefficients 88.0 54.0 Standard Errort 12.175 5.865 a. Write the estimated regression equation (to whole number). y= Xx b. Compute the F statistic and...
A researcher computes the following analysis of regression table. Based on the data given, what is...
A researcher computes the following analysis of regression table. Based on the data given, what is the decision for this test at a .05 level of significance? (Note: Complete the table first.) Source of Variation SS df MS F Regression 1 28 Residual Total 118 19 A) X significantly predicts Y. B) X does not significantly predict Y. C) There is not enough information to answer this question.
What is test statistic? What is p-value? b. Construct a 95% confidence interval for each regression...
What is test statistic?
What is p-value?
b. Construct a 95% confidence interval for each regression
coefficient and interpret its meaning.
utility company would like to predict the monthly heating bill for a household in a certain county in January. A random sample of households in the county was selected and their January heating bill was recorded along with the variables SF, Age, and Temp, with the results shown i i Click the icon to view the regression output. the...
7,10,11 Based on the following regression output, what is the equation of the regression line? Regression...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
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...
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...
Given the following portion of regression results, What is the value of the F test statistic? 1 pts df SS MSF Significance F Regression 23,500 1.750 ??? 0.1000 Residual 20 13,500 675 Total 22 17,000 O 10 O 3.49 O 2.59 O 1.96
QUESTION 27 Q27. A manager at a local bank analyzed the relationship between monthly salary (y, in $) and length of service (x, measured in months) for 30 employees. She estimates the model: Salary = Bo + B1 Service + ε. The following ANOVA table below shows a portion of the regression results. df SS M S F Regression 555,420 555,420 7.64 Residual 27 1,962,873 72,699 Total 28 2 ,518,293 Coefficients Standard Error t-stat p-value Intercept 784.92 322.25 2.44 0.02...
What is the table (critical value) or the f test statistic
assuming 5% significance level?
A researcher is interested to find out how the engine displacement vehicle weight, and the type of transmission [i.e. automatic & manual] affect the automobile gasoline mileage. Type of transmission is represented by one dummy variable: automatic (-1, if transmission is automatic;-0, if transmission is manual) Part of the raw data and the regression output of 40 different car models are given below. Automobile Miles/gallon...
Consider the excel regression
above. What null hypothesis is the (default) F-test, which is
reported on the results, testing? What is the calculated
F-statistic value and what is the p-value of the test? How many
numerator degrees of freedom (restrictions) are involved?
Regression Statistics MultipleR 0.267643168 0.071632865 R Square Adj R Square 0.068838449 Standard Error571.4177199 Observations 3000 ANOVA df Significance F MS 9 75330553.98 8370061.553 25.634287096.23834E-43 Regression Residual 2990976289449.8 326518.2106 Total 2999 1051620004 Coefficients Standard ErrortStat P-value Lower 95% Upper...
A regression model relating 3, number of salespersons at a branch office, to y, annual sales at the office in thousands of dollars) provided the following computer output from a regression analysis of the data. Where ntotal = 32. ANOVA df MSF Significance F SS 6863.5 Regression Residual Total 9342.6 Stat P-value Intercept Number of Salespersons Coefficients 88.0 54.0 Standard Errort 12.175 5.865 a. Write the estimated regression equation (to whole number). y= Xx b. Compute the F statistic and...
What is test statistic?
What is p-value?
b. Construct a 95% confidence interval for each regression
coefficient and interpret its meaning.
utility company would like to predict the monthly heating bill for a household in a certain county in January. A random sample of households in the county was selected and their January heating bill was recorded along with the variables SF, Age, and Temp, with the results shown i i Click the icon to view the regression output. the...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
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...
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...
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