Question

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

  1. What is the value of the calculated F statistic?
  2. What is the critical value for the model test if alpha = 0.05?
  3. What is the value of the coefficient of determination?
  4. What is the value of the standard error of the estimate?
  5. What is the value of adjusted R2?
  6. What are the total number of degrees of freedom?

Homework Answers

Answer #1

SSYY = SSR + SSE

16781 = 11440 + SSE

SSE = 5341

SST = SSYY = 16781

df of the numerator = 3

df of the total = 28 - 1 = 27

df of the denominator = 27 - 3 = 24

The table is:

Source SS df MS F p-value F-critical
Regression 11440 3 3813.333 17.13537 0.0000 3.008787
Residual 5341 24 222.5417
Total 16781 27
  1. What is the value of the calculated F statistic?

17.13537

  1. What is the critical value for the model test if alpha = 0.05?

3.008787

  1. What is the value of the coefficient of determination?

r2 = SSR/SST = 11440/16781 = 0.682

  1. What is the value of the standard error of the estimate?

Standard error =

  1. What is the value of adjusted R2?

Adjusted r2 =

  1. What are the total number of degrees of freedom?

df of the total = 28 - 1 = 27

Please give me a thumbs-up if this helps you out. Thank you!

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
a multiple regression with four explanatory variables and 100 observations, it is found that SSR =...
a multiple regression with four explanatory variables and 100 observations, it is found that SSR = 4.75 and SST = 7.62. a. Calculate the standard error of the estimate se. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) STANDART ERROR ....................... b. Calculate the coefficient of determination R2. (Round your answer to 4 decimal places.) Coefficient of determination ................................ c. Calculate adjusted coefficient of determination R2. (Round your answer to 4 decimal...
The estimated regression equation for a model involving two independent variables and 55 observations is: y-hat...
The estimated regression equation for a model involving two independent variables and 55 observations is: y-hat = 55.17 + 1.1X1 - 0.153X2 Other statistics produced for analysis include: SSR = 12370.8 SST = 35963.0 Sb1 = 0.33 Sb2 = 0.20 Interpret b1 and b2 in this estimated regression equation b. Predict y when X1 = 55 and X2 = 70. Compute R-square and Adjusted R-Square. e. Compute MSR and MSE. f. Compute F and use it to test whether the...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ =...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 17.6 + 3.8x1 − 2.3x2 + 7.6x3 + 2.7x4 For this estimated regression equation, SST = 1,805 and SSR = 1,770 a. Find the value of the test statistic. (Round your answer to two decimal places.) _________ b. Suppose variables x1 and x4 are dropped from the model and the following estimated regression equation is obtained. ŷ = 11.1 − 3.6x2 + 8.1x3 Compute...
QUESTION 18 As independent variables are added to a multiple regression equation, the coefficient of determination,...
QUESTION 18 As independent variables are added to a multiple regression equation, the coefficient of determination, R2, never decreases. a. True b. False
In a multiple regression model involving 30 observations, the following estimated regression equation was obtained: ​...
In a multiple regression model involving 30 observations, the following estimated regression equation was obtained: ​ ŷ = 17 + 4x1- 3x2+ 8x3+ 8x4 ​ ​For this model, SSR = 700 and SSE = 100. The computed F statistic for testing the significance of the above model is A. 7.00. B. 43.75. C. 4.00. D. 50.19.
In conducting a multiple linear regression analysis, an R2 value of 0.46 is obtained. An extra...
In conducting a multiple linear regression analysis, an R2 value of 0.46 is obtained. An extra variable is added and R2 improves to 0.52. The analyst conducting the regression analysis concludes that this is a meaningful increase in R2 and determines that the latter model is an appropriate model to be used. Is this decision justified?
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...
Suppose we estimate a regression model containing a constant term and two explanatory variables. The analysis...
Suppose we estimate a regression model containing a constant term and two explanatory variables. The analysis is based on a sample size of 25 and produces a Durbin Watson statistic d=1.85. a. Approximately, what is the correlation coefficient between consecutive error terms? b. If this model has an R2 = .75, what is the value of the CALCULATED F statistic associated with a GLOBAL test? c. At the 1% level what is the CRITICAL value associated with a global test...
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,...
Suppose we have a regression model with 3 independent variables and an R2 value of 0.65...
Suppose we have a regression model with 3 independent variables and an R2 value of 0.65 and an adjusted R2 value of 0.61. When we add a fourth independent variable, the new R2 value is 0.73 and the new adjusted R2 value is 0.54. What can we conclude about this newly added independent variable? Group of answer choices The new independent variable improves our model because R-squared increased The new independent variable improves our model because the adjusted R-squared value...