Exam 4: Basic Estimation Techniques

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: ‪ -At the 1% level of significance, the critical value of the F-statistic is _________. The model as a whole _________ (is, is not) significant at the 1% level.

A simple linear regression equation relates G and D as follows: G = a + bD -The explanatory variable is _______, and the dependent variable is ________.

refer to the following computer output from estimating the parameters of the nonlinear model The computer output from the regression analysis is: -The nonlinear relation can be transformed into the following linear regression model:

refer to the following: A firm is experiencing theft problems at its warehouse. A consultant to the firm believes that the dollar loss from theft each week (T) depends on the number of security guards (G) and on the unemployment rate in the county where the warehouse is located (U measured as a percent). In order to test this hypothesis, the consultant estimated the regression equation T = a + bG + cU and obtained the following results: -Which of the following is correct at the 1% level of significance?

In a multiple regression model, the coefficients on the independent variables measure

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 p-value for indicates that the exact level of significance is ______ percent, which is the probability of _________________________________________.

refer to the following: The linear regression equation, Y = a + bX, was estimated. The following computer printout was obtained: ‪ -What is the critical value of t at the 1% level of significance?

A simple linear regression equation relates G and D as follows: G = a + bD -For each one-unit increase in D, the change in R is ______ units.

refer to the following nonlinear model which relates W to P, Q, and R: The computer output form the regression analysis is: -The nonlinear relation can be transformed into the following linear regression model:

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 2% level of significance, ‪ _________ (is, is NOT) significant,‪ _________ (is, is NOT) significant,‪ _________ (is, is NOT) significant, and‪ _________ (is, is NOT) significant.