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D Question 7 2 pts Only coefficients with a large standard error can be statistically significant....
Question 1 2 pts In regression analysis, an estimated coefficient is statistically significant when: the associated...
Question 1 2 pts In regression analysis, an estimated coefficient is statistically significant when: the associated p-value is close to 1. 0 the ratio of the standard error divided by the estimated coefficient is close to 0. the associated p-value is close to O the ratio of the estimated coefficient divided by the standard error is close to 0. Question 2 2 pts You are reading an academic paper where one of the estimated coefficients has a p-value of 0.0965...
QUESTION 6 Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate...
QUESTION 6 Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .641a .410 .406 4.507 a. Predictors: (Constant), age 3 groups, Total Mastery, Total Optimism Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 50.016 1.409 35.508 .000 Total Mastery -.786 .067 -.526 -11.719 .000 Total Optimism -.217 .060 -.164 -3.623 .000 age 3 groups -.712 .275 -.098 -2.588 .010 a. Dependent Variable: Total perceived stress What proportion of...
Question 12 2 pts If a researcher reports a “statistically significant difference” between two groups after...
Question 12 2 pts If a researcher reports a “statistically significant difference” between two groups after conducting an independent-samples t test, this implies that: Cohen's d is at least 0.50. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is true. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is false. there is a large difference between the two groups.
Which independent variables are statistically significant in Model 2 and Model 3? Test it at 10%...
Which independent variables are statistically significant in Model 2 and Model 3? Test it at 10% significance level. Provide reasons. which model would you consider as a better model, Model 2 or Model 3? Use all metrics to make a determination whether a particular model is good. Provide your reasons. Regression Statistics model 2 Standard Error of Estimate: Multiple R 0.5580 R Square 0.3114 Adjusted R Square 0.2821 Standard Error 249.0526 Observations 50 df SS MS F Significance...
Question 16 The error term ε in a regression model represents o a. a random error...
Question 16 The error term ε in a regression model represents o a. a random error in the data. o b.unsystematic variation in the dependent variable. o c. variation not explained by the independent variables. o d. all of these. Question 14 Which of the following best describes the relationship between cost and accuracy in forecasting? a. low cost methods are always less accurate o b. statistical methods are more costly and more accurate oc. there is a trade-off between...
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A....
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model...
2 pts Question 4 In the classical regression model we maximize the sum of the squared...
2 pts Question 4 In the classical regression model we maximize the sum of the squared errors. O True False 2 pts D Question 5 The terms coefficients of determination and R-square are synonyms, measuring how well a regression model fits the data. O True False 2 pts Question 6 Student's t-statistic is calculated as the ratio of an estimated coefficient divided by its standard error. True False
1.Which variables are statistically significant at the 5% level? 2.Which variables are statistically significant at the...
1.Which variables are statistically significant at the 5%
level?
2.Which variables are statistically significant at the 10%
level?
3.Which variables are insignificant?
4.Please present the correlation matrix of the independent
variables.
5.Please run the White test for heteroskedasticity, with
cross-products AND PRESENT YOUR RESULTS. Please explain whether the
test is significant or not.
6.If the White test is significant, please present the
heteroskedasticity-consistent White regression results.
7.Can you test this model for autocorrelation? Why of why not?
If you do,...
Question 8 0.8 pts True or False: Adding explanatory variables that do not have a significant...
Question 8 0.8 pts True or False: Adding explanatory variables that do not have a significant effect on the dependent variable to our model will lower the R-squared. O True O False
"Are there any of the independent variables (not including the constant) that are statistically not significant...
"Are there any of the independent variables (not including the
constant) that are statistically not significant at the 0.10 level
or lower? If yes, drop them from the list of independent
variables.... . Continue the process until all of the independent
variables are significant at least at the 0.10 level or lower.
"
Coefficients a Standardized Coefficients Unstandardized Coefficients Collinearity Statistics Tolerance VIF Model B Std. Error Beta t Sig. 1 4790324.307 348934.230 13.728 .000 (Constant) Number of bedrooms -6950.604...
Question 1 2 pts In regression analysis, an estimated coefficient is statistically significant when: the associated p-value is close to 1. 0 the ratio of the standard error divided by the estimated coefficient is close to 0. the associated p-value is close to O the ratio of the estimated coefficient divided by the standard error is close to 0. Question 2 2 pts You are reading an academic paper where one of the estimated coefficients has a p-value of 0.0965...
Question 12 2 pts If a researcher reports a “statistically significant difference” between two groups after conducting an independent-samples t test, this implies that: Cohen's d is at least 0.50. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is true. the difference between the two groups is unlikely to have occurred by chance if the null hypothesis is false. there is a large difference between the two groups.
Question 16 The error term ε in a regression model represents o a. a random error in the data. o b.unsystematic variation in the dependent variable. o c. variation not explained by the independent variables. o d. all of these. Question 14 Which of the following best describes the relationship between cost and accuracy in forecasting? a. low cost methods are always less accurate o b. statistical methods are more costly and more accurate oc. there is a trade-off between...
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model...
2 pts Question 4 In the classical regression model we maximize the sum of the squared errors. O True False 2 pts D Question 5 The terms coefficients of determination and R-square are synonyms, measuring how well a regression model fits the data. O True False 2 pts Question 6 Student's t-statistic is calculated as the ratio of an estimated coefficient divided by its standard error. True False
1.Which variables are statistically significant at the 5%
level?
2.Which variables are statistically significant at the 10%
level?
3.Which variables are insignificant?
4.Please present the correlation matrix of the independent
variables.
5.Please run the White test for heteroskedasticity, with
cross-products AND PRESENT YOUR RESULTS. Please explain whether the
test is significant or not.
6.If the White test is significant, please present the
heteroskedasticity-consistent White regression results.
7.Can you test this model for autocorrelation? Why of why not?
If you do,...
Question 8 0.8 pts True or False: Adding explanatory variables that do not have a significant effect on the dependent variable to our model will lower the R-squared. O True O False
"Are there any of the independent variables (not including the
constant) that are statistically not significant at the 0.10 level
or lower? If yes, drop them from the list of independent
variables.... . Continue the process until all of the independent
variables are significant at least at the 0.10 level or lower.
"
Coefficients a Standardized Coefficients Unstandardized Coefficients Collinearity Statistics Tolerance VIF Model B Std. Error Beta t Sig. 1 4790324.307 348934.230 13.728 .000 (Constant) Number of bedrooms -6950.604...
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