Exam 4: Basic Estimation Techniques

Thirty-two data points on Y and X are employed to estimate the parameters in the linear relation Y = a + bX. The computer output from the regression analysis is -At the 5% level of significance, __________ (is, not) significant, and ________ (is, is not) significant.

4-5F Seventy-five data point on H, U, V, and W are employed to estimate the parameters in the linear relation . The computer output from the regression analysis is shown below: -The estimated sample regression line is _________________________________.

4-4F Suppose Y is related to R and S in the following nonlinear way: Twenty-six observations are used to obtain the following regression results: ‪ -If R increases by 14%, Y will increase by ________ percent.

The linear regression equation G = a + bD is estimated using 24 observations on R and W. The least-squares estimate of b is -22.5, and the standard error of the estimate is 8.36. Perform a t-test for statistical significance of at the 1% level of significance. -The value of the t-statistic is _________. The critical t-value for the test is _________.

4-4F Suppose Y is related to R and S in the following nonlinear way: Twenty-six observations are used to obtain the following regression results: ‪ -The percentage of the total variation in the dependent variable NOT explained by the regression is _______________.

Thirty-two data points on Y and X are employed to estimate the parameters in the linear relation Y = a + bX. The computer output from the regression analysis is -The percentage of the total variation in Y that is NOT explained by the regression is ________.

refer to the following nonlinear model which relates W to P, Q, and R: The computer output form the regression analysis is: -Which of the parameter estimates are statistically significant at the 5% level of significance?

refer to the following computer output from estimating the parameters of the nonlinear model The computer output from the regression analysis is: -The estimated value of a is

4-5F Seventy-five data point on H, U, V, and W are employed to estimate the parameters in the linear relation . The computer output from the regression analysis is shown below: -At the 4% level of significance, __________ (is, is not) significant, ________ (is, is not) significant, ________ (is, is not) significant, and ________ (is, is not) significant.

A simple linear regression equation relates G and D as follows: G = a + bD -When D is zero, G equals _______.

The linear regression equation G = a + bD is estimated using 24 observations on R and W. The least-squares estimate of b is -22.5, and the standard error of the estimate is 8.36. Perform a t-test for statistical significance of at the 1% level of significance. -There are _____ degrees of freedom for the t-test.

In a linear regression equation of the form Y = a + bX, the slope parameter b shows

4-5F Seventy-five data point on H, U, V, and W are employed to estimate the parameters in the linear relation . The computer output from the regression analysis is shown below: -If U equals 4, V equals 8, and W equals 10, the fitted (or predicted) value of H is ____________.

refer to the following: A manager wishes to estimate an average cost equation of the following form: where Q is the level of output. Letting Z = Q² and using least-squares estimation, the manager obtains the following computer output: -Which of the parameter estimates are statistically significant at the 1% significance level?

refer to the following: The linear regression equation, Y = a + bX, was estimated. The following computer printout was obtained: ‪ -If X equals 20, what is the predicted value of Y?

4-4F Suppose Y is related to R and S in the following nonlinear way: Twenty-six observations are used to obtain the following regression results: ‪ -In order to estimate the parameters a, b, and c, the equation must be transformed into the form: ___________________________________.

Thirty-two data points on Y and X are employed to estimate the parameters in the linear relation Y = a + bX. The computer output from the regression analysis is -At the 5% level of significance, the critical value of the F-statistic is _______. The model as a whole ___________(is, is not) significant at the 5% level.

Thirty-two data points on Y and X are employed to estimate the parameters in the linear relation Y = a + bX. The computer output from the regression analysis is -There are ______ degrees of freedom for the t-test. At the 5% level of significance, the critical t-value for the test is ______________.

Thirty-two data points on Y and X are employed to estimate the parameters in the linear relation Y = a + bX. The computer output from the regression analysis is -At the 2% level of significance, the critical t-value for a t-test is ___________. At the 2% level of significance, _________ (is, is not) significant, and _________ (is, is not) significant.

refer to the following: A manager wishes to estimate an average cost equation of the following form: where Q is the level of output. Letting Z = Q² and using least-squares estimation, the manager obtains the following computer output: -When output is 40 units, what is average cost?