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Option D) None of the above. statement is false regarding the t-test for the regression slope
12) Which of the following statements is false regarding the t-test for the regression slope? A....
TRUE or FALSE: Identify which of the following are valid statements and which ones are false. i. T F A ear odel is fit to a data set exhibiting a linear relationship. One of the data points is an outlier with respect to r, ie. its r-value is umisual compared to all other r-values but its y-value falls within the observed range of Y. Removing this data point likely change the estimated sample slope by a considerable amount ii. T...
Which of the following statements regarding regression and correlation are true? (There may be more than one correct answer.) a. If the linear correlation between two variables is 0, then there is no relationship between the two variables. b. When the slope of a linear regression equation is near 0, then the linear correlation between the two variables must also be near 0. c. The average error between the actual values and the predicted values of a least squares line...
Suppose you conducted a simple linear regression t-test with a null hypothesis that the slope was positive. You obtained a p-value of 0.023. If you were to conduct an F-test that tested for a linear relationship between the one predictor and response what p-value would you expect to obtain?
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
Which of the following statements is FALSE? a.) The power of a hypothesis test is the probability of not making a Type II error. b.) Alpha (α) is equal to the probability of making a Type I error. c.) The probability of rejecting the null hypothesis when the null hypothesis is true is called a Type I Error. d.) A smaller sample size would increase the effectiveness of a hypothesis test.
A hypothesis test for the slope of the least squares regression line produces a P-value of 0.018. Which of the following conclusions is appropriate? There is insufficient evidence at the a = 0.05 level of a linear relationship between the variables. There is insufficient evidence at the a = 0.10 level of a linear relationship between the variables. There is sufficient evidence at the a = 0.01 level of a linear relationship between the variables. There is insufficient evidence at...
8. Degrees of freedom for chi-squared tests are determined by sample size. True or False 7. If a correlation between two variables is negative, that means there is no linear relationship between them. True or False 2. For a chi-square test, if the observed number of cases in your sample fits what you expect given your knowledge of the population, you would reject the null hypothesis. True or False 1. A two-tailed hypothesis will have more statistical power than a...
Coastal State University is conducting a study regarding the possible relationship between the cumulative grade point average and the annual income of its recent graduates. A random sample of 151 Coastal State graduates from the last five years was selected, and it was found that the least-squares regression equation relating cumulative grade point average (denoted by x, on a 4-point scale) and annual income (denoted by y, in thousands of dollars) was ^y=36.86+5.50x . The standard error of the slope...
If you perform a hypothesis test on the population slope Parameter (β1) in regression analysis and reject the Null hypothesis: Ho: β1= 0. Your conclusion would be: A.) The least squares sample regression equation should not be used because there is not sufficient evidence of a relationship between the independent variable and the dependent variable.. B.) The least squares sample regression equation should be used because there is sufficient evidence of a relationship between the independent variable and the dependent...
Which of the following statements is true? I. In the computer output for regression, s is the estimator of the standard deviation of the response variable. II. A null hypothesis that if true, implies that there's no correlation between the x and y variables. III. The t test for the slope of a regression line is always two-sided.