In multiple regression, rejecting the null hypothesis in the t-test implies that... (a) the regression coefficient...
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
12) Which of the following statements is false regarding the t-test for the regression slope? A. The degrees of freedom for the t test statistic are based on the sample size. -0 is the null hypothesis Rejecting the null hypothesis indicates that there is no significant linear relationship between the two variables. C. None of the above.
If we fail to reject the null hypothesis for a multiple regression coefficient, it means that the corresponding predictor variable OA contibutes nothing to modeling y after allowing for all other predictors O B. has no inear relationship to y O C. has a signiticant liniear relationship with y O D. has a significant relationship with y, and it may not be linear OE. has a sigrncart relationship with y that is obscured by the oner predictors A residual plot...
13) Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. Suppose you wish to test the claim that μd, the mean value of the differences d for a population of paired data, is greater than 0. Given a sample of n = 15 and a significance level of α = 0.01, what criterion would be used for rejecting...
In multiple regression analysis, testing the global null hypothesis that all regression coefficients are zero is based on ________.
1) In a multiple regression output, if individual test of slope coefficient for each variable shows that all the independent variables are not significant individually, but test on overall validity of model supports the alternative hypothesis at a specified level of significance, this is most likely due to: A. autocorrelation B. multicollinearity C. the presence of dummy variables D. the absence of dummy variables 2.
1. a) Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rekection of the null hypothesis. H0: =9.8 H1: ?9.8 n=14 ? = 0.05 b. The mean volume of juice in a company's 8 oz juice bottles is equal to 8.2 ounces. Test statistic z = -1.27
a is .05 and N-25, the probability of rejecting the null hypothesis if the mull hypothesis is true is: a. .os b..95 c. 05/25 - 01 d..95/25 = .19 e. insufficient information to answer as the popu 4. The sampling distribution of the mean always has the same distribution of the raw scores. a. mean b. standard deviation c. skew d. a and b e. all of the above S. If the sample size on which a standard deviation is...
Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test, i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish o compare he means of two populations using paired observations. Suppose hat d: 3 12 sd 2. and n : 8 and that you wish to est e h pothesis below at he 1 % level of signiticance hat decision le ou d ou u O A....
The higher the alpha level, a. the lower the probability of rejecting the null hypothesis. b. the greater the probability of rejecting the null hypothesis. c. the larger the sample size has to be to reject the null hypothesis. d. the more desirable the two-tailed test. When solving the formula for finding Z(obtained) with sample proportions in the two-sample case, we must first estimate a. the population proportion. b. the critical region. c. the ratio of the sample proportions. d....