In multiple regression analysis, testing the global null hypothesis that all regression coefficients are zero is based on ________.
Solution :
In multiple regression analysis, testing the global null hypothesis that all regression coefficients are zero
is based on a F statistic .
In multiple regression analysis, testing the global null hypothesis that all regression coefficients are zero is based o...
In multiple regression, rejecting the null hypothesis in the t-test implies that... (a) the regression coefficient is significant (b) none of the regression coefficients is significant (c) all of the regression coefficients are significant (d) a subset of the regression coefficients is significant
In multiple regression, rejecting the null hypothesis in the F-test implies that... (a) a subset of coefficients is significant (b) all the regression coefficients are not significant (c) at least one regression coefficient is not significant (d) all the regression coefficients are significant
Which of the following statement is true about hypothesis testing in regression analysis? A. It is to test a statement about a coefficient of a sample regression B. It is to test a statement about a parameter value for the population C. The value for null hypothesis must be 0 D. none of the above is true
In a simple regression analysis for a given data set, if the null hypothesis ? = 0 is rejected, then the null hypothesis ? = 0 is also rejected. This statement is ___________ true. always never sometimes
A multiple regression analysis produced the following tables. Coefficients Standard Error t Statistic p-value Intercept 1411.876 35.18215 7.721648 762.1533 96.8433 3.007943 1.852483 0.074919 0.363289 0.719218 2.567086 0.016115 2 df Regression 2 Residual 25 27 58567032 12765573 71332605 MS 29283516 57.34861 510622.9 Total Using a-0.10 to test the null hypothesis Ho: b2 0, the critical t value is. ± 1.316 ± 1.314 ± 1.703 ± 1.780 ± 1.708
A sampling distribution is Multiple Choice based on the assumption that the null hypothesis is correct. a probability distribution. specified by the null hypothesis. All answer choices are correct.
You are testing the null hypothesis that there is no linear relationship between two variables, X and Y. You are given the following regression results, where the sample size is 10., Coefficients Standard Error Intercept -1.2 1 X 2 2 a) What is the value of the t test statistic? b) At the α = 0.05 level of significance, what are the critical values? c) Based on your answer to (a) and (b), what statistical decision should you make?
A multiple regression analysis produced the following tables: Predictor Intercept Xi x2 Coefficients 616.6849 -3.33833 1.780075 Standard Error 154.5534 2.333548 0.335605 t statistic 3.990108 -1.43058 5.30407 p value 0.000947 0.170675 5.83E-05 Source Regression Residual Total df 2 15 17 SS 121783 61876.68 183659.6 MS 60891.48 4125.112 p value 0.000286 F 14.76117 Using a = 0.01 to test the null hypothesis Ho: B1 = B2 = 0, the critical F value is 8.68 6.36 8.40 O 6.11 O 3.36
Question 1 (-110 Below you are given a partial computer output from a multiple regression analysis based on a sample of 16 observations. Coefficients Standard Error Constant 12.924 4.425 -3.682 2.630 x2 45.216 12.560 Analysis of Variance Source of Variation Degrees of Freedom Sum of Squares Mean Square Regression 4853 2426.5 Error 485.3 Carry out the test to determine if there is a relationship among the variables at the 5% level. The null hypothesis should be rejected not be rejected...
r joint null hypothesis test statistic comes . If ou out to be greater than the relevant critical value, do we reject or fail to reject the joint null hypothesis? S&W Chapter 9 -Assessing Studies Based on Multiple Regression 21. In the S&W format, list the five sources of bias in the estimated coefficients outlined in the text and describe each with a few words. r joint null hypothesis test statistic comes . If ou out to be greater than...