Question

The overall significance of a regression model is tested using the F test. The model is...

The overall significance of a regression model is tested using the F test. The model is significant if:

The F value is low

Unable to answer due to insufficient information

The slope is lower than the intercept

The R squared value is low

The significance level of the F value is low

Homework Answers

Answer #1

Option (4) is right answer. The model will be significant when calculated F - value will be greater than critical F value. it is only possible if significance level of f- value is low .

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
Discuss the model and interpret the results: report overall model fit (t and significance), report the...
Discuss the model and interpret the results: report overall model fit (t and significance), report the slope coefficient and significance, report and interpret r squared. Regression Statistics Multiple R 0.001989374 R Square 3.95761E-06 Adjusted R Square -0.005046527 Standard Error 8605.170404 Observations 200 ANOVA df SS MS F Significance F Regression 1 58025.4985 58025.4985 0.00078361 0.977695901 Residual 198 14661693620 74048957.68 Total 199 14661751645 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 15668.85874 2390.079111 6.555790838...
Discuss the strength and the significance of your regression model by using R-square and significance F...
Discuss the strength and the significance of your regression model by using R-square and significance F where α = 0.05. SUMMARY OUTPUT Regression Statistics Multiple R 0.919011822 R Square 0.844582728 Adjusted R Square 0.834446819 Standard Error 163.953479 Observations 50 ANOVA df SS MS F Significance F Regression 3 6719578.309 2239859.44 83.3257999 1.28754E-18 Residual 46 1236514.191 26880.7433 Total 49 7956092.5 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 21.7335244 114.2095971 0.19029508 0.84991523 -208.158471 251.62552...
Use Excel to develop a regression model for the Hospital Database (using the “Excel Databases.xls” file...
Use Excel to develop a regression model for the Hospital Database (using the “Excel Databases.xls” file on Blackboard) to predict the number of Personnel by the number of Births. Perform a test of the slope. What is the value of the test statistic? Write your answer as a number, round your answer to 2 decimal places. SUMMARY OUTPUT Regression Statistics Multiple R 0.697463374 R Square 0.486455158 Adjusted R Square 0.483861497 Standard Error 590.2581194 Observations 200 ANOVA df SS MS F...
Using 20 observations, the multiple regression model y = β0 + β1x1 + β2x2 + ε...
Using 20 observations, the multiple regression model y = β0 + β1x1 + β2x2 + ε was estimated. A portion of the regression results is shown in the accompanying table: df SS MS F Significance F Regression 2 2.12E+12 1.06E+12 55.978 3.31E-08 Residual 17 3.11E+11 1.90E+10 Total 19 2.46E+12 Coefficients Standard Error t Stat p-value Lower 95% Upper 95% Intercept −986,892 130,984 −7.534 0.000 −1,263,244 −710,540 x1 28,968 32,080 0.903 0.379 −38,715 96,651 x2 30,888 32,925 0.938 0.362 −38,578 100,354...
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...
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. The overall regression F-statistic tests the null hypothesis that: A) all slope coefficients are zero....
1. The overall regression F-statistic tests the null hypothesis that: A) all slope coefficients are zero. B) all slope coefficients and the intercept are zero. C) the intercept in the regression and at least one, but not all, of the slope coefficients is zero. D) the slope coefficient of the variable of interest is zero, but that the other slope coefficients are not. 2. Consider the following model: . Yield is measured in tons per acre and rainfall is measured...
Q1. Model 1: OLS, using observations 1-832 Dependent variable: VALUE Coefficient Std. Error t-ratio p-value const...
Q1. Model 1: OLS, using observations 1-832 Dependent variable: VALUE Coefficient Std. Error t-ratio p-value const 597.865 7.72837 77.36 <0.0001 *** LOT 30.8658 4.64595 6.644 <0.0001 *** Mean dependent var 610.3780 S.D. dependent var 221.7390 Sum squared resid 38795690 S.E. of regression 216.1985 R-squared 0.050492 Adjusted R-squared 0.049348 F(1, 830) 44.13736 P-value(F) 5.54e-11 Log-likelihood −5652.552 Akaike criterion 11309.10 Schwarz criterion 11318.55 Hannan-Quinn 11312.73 2-. For the estimated regression in activity #1 above, provide appropriate interpretations for the estimated intercept and...
A regression model was developed relating amount charge to a credit card of ABC Bank with...
A regression model was developed relating amount charge to a credit card of ABC Bank with two independent variables: Household Size and Income (in thousands) of the customer. Part of the regression results are shown below 1.   What is the value of the F test statistic for testing whether the regression model overall is significant? (2 Points) 2.   What is the rejection rule for testing whether the regression model is significant at the 0.05 level of significance? Use the critical...
Please explain me this problem without using Excel please. Thank you. df ss ms f significance...
Please explain me this problem without using Excel please. Thank you. df ss ms f significance f regression 1 552.0 552.0 69.0 0.0000 residual(error) 10 80.0 8.0 total 11 632.0 Coefficients Standard Error t Stat P-Value Intercept 4.3939 1.7569 2.5009 0.0314 X 1.9650 0.2387 8.2315 0.0000 Answer the following questions based on the above information and use a 95% confidence. a. Is the regression model significant at 95% confidence? Why or why not. Fully explain. b. Is X significant? Why...