Question

A multiple regression model with 6 variables (3 qualitative, and 3 dummy variables) is considered to...

A multiple regression model with 6 variables (3 qualitative, and 3 dummy variables) is considered to fit data from a random sample of 200 units. Knowing that the coefficient of determination is equal to 0.80:

  1. Compute the F-test for the global utility of the model
  2. Compute the Adjusted coefficient of determination  

Round off your answers to two decimal digits

Homework Answers

Answer #1

Answer:-

Given that:-

A multiple regression model with 6 variables (3 qualitative, and 3 dummy variables) is considered to fit data from a random sample of 200 units. Knowing that the coefficient of determination is equal to 0.80:

Compute the F-test for the global utility of the model

here n=200,k=6

Compute the Adjusted coefficient of determination

Adjusted

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
f. Interpret the slope coefficient for one of the dummy variables included in your regression model....
f. Interpret the slope coefficient for one of the dummy variables included in your regression model. g. For the slope coefficient of the variable with the smallest slope coefficient (ignore sign, use absolute value), test to see if the “a priori” expectation from part (a) is confirmed. Use alpha = 0.05. h. Interpret the coefficient of determination in this situation. i. Test the explanatory power of the entire regression model. Please use alpha = 0.01. j. For the variable with...
1.One-way ANOVA can be applied to: a)Regression model with several dummy variables (created for a qualitative...
1.One-way ANOVA can be applied to: a)Regression model with several dummy variables (created for a qualitative independent variable) to test the overall usefulness of the model b)Regression model with several quantitative independent variables to test the overall usefulness of the model c)Both of the above D) none of the above 2. You need to decide whether you should invest in a particular stock.  You would like to invest if the price is likely to rise in the long run.  Assuming the past...
The following results were obtained as part of a multiple regression analysis involving 3 independent variables:...
The following results were obtained as part of a multiple regression analysis involving 3 independent variables: SSR = 11440   SSYY = 16781       and n = 28 What is the value of the calculated F statistic? What is the critical value for the model test if alpha = 0.05? What is the value of the coefficient of determination? What is the value of the standard error of the estimate? What is the value of adjusted R2? What are the total number...
Consider the following ANOVA table for a multiple regression model. Complete the table and answer the...
Consider the following ANOVA table for a multiple regression model. Complete the table and answer the parts below. Source / df / SS / MF / F Regression / 2 / ___ / ___ / ___ Residual / ___ / 8,100 / ___ Total / 47 / 15,300 / a. Complete the remaining entries in the table. b. What is the size of this​ sample? n=? c. How many independent variables are in this​ model? k=? d. Calculate the multiple...
in a multiple regression analysis, two independent variables are considered, and the sample size is 30....
in a multiple regression analysis, two independent variables are considered, and the sample size is 30. The regression coefficients and the standard errors are as follows. b1 = 1.331 Sb1 = 0.80 b2 = −2.922 Sb2 = 0.64 Conduct a test of hypothesis to determine whether either independent variable has a coefficient equal to zero. Would you consider deleting either variable from the regression equation? Use the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round...
A multiple linear regression model based on a sample of 17 weeks is developed to predict...
A multiple linear regression model based on a sample of 17 weeks is developed to predict standby hours based on the total staff present and remote hours. The SSR is 20,905.02 and the SSE is 25,434.29. (use 0.05 level of significance) H0​: B1 = B2 = 0 H1​: At least one Bj does not equal 0, j = 1, 2 1. Calculate the test statistic. Fstat= _____ 2. Find the p-value. p-value= _____ 3. Compute the coefficient of multiple​ determination,...
In a multiple regression analysis, two independent variables are considered, and the sample size is 27....
In a multiple regression analysis, two independent variables are considered, and the sample size is 27. The regression coefficients and the standard errors are as follows. b1 = 1.670 Sb1 = 0.52 b2 = ?2.018 Sb2 = 0.65 Conduct a test of hypothesis to determine whether either independent variable has a coefficient equal to zero. Would you consider deleting either variable from the regression equation? Use the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round...
A multiple linear regression model based on a sample of 24 weeks is developed to predict...
A multiple linear regression model based on a sample of 24 weeks is developed to predict standby hours based on the total staff present and remote hours. The SSR is 31,193.47 and the SSE is 33,923.99. complete parts a through d. a. Determine whether there is a significant relationship between standby hours and the two independent variables at the .05 level of significance. test statistic pvalue state the conclusion b. Interpret the meaning of the p-value. c. compute the coefficent...
You have estimated a multiple regression model with 6 explanatory variables and an intercept from a...
You have estimated a multiple regression model with 6 explanatory variables and an intercept from a sample with 46 observations. Suppose you are interested in testing that X2, X3, and X4 are jointly significant at 5% significance level. The appropriate F test has _____________ numerator degrees of freedom.
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 3...
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 3 3,662.36 1,220.79 27.55 Residual Error 54 2,392.82 44.31 Total 57 6,055.18 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...