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- 1.1 Which of the following is NOT a good reason for including a disturbance term in a regression equation?/ A. To allow for random influences on the dependent variable/ B. To allow for errors in the measurement of the dependent variable/ C. It captures omitted determinants of the dependent variable D. To allow for the non-zero mean of the dependent variable/ 1.2 Consider the equation Y = B1 + B2X2 + u. A null hypothesis of H0: B2 = 0 means that/ A. X2 has no effect on the expected value of Y / B. B2 has no effect on the expected value of Y/ C. X2 has no effect on the expected value of B2 / D. Y has no effect on the expected value of X2/ 1.3 The OLS residuals in the multiple regression model/ A. can be calculated by subtracting the fitted values from the actual values / B. are zero because the predicted values are another name for forecasted values / C. are typically the same as the population regression function errors / D. cannot be calculated because there…Which of the following statement about R^2 is and adjusted-R^2 is correct? O a. Both Statements A and B are correct O b. The value of adjusted-R^2 can increase or decrease when additional variable is included in a regression model O C. An increase in the value of R^2 and adjusted-R^2 does not mean that the additional variable is included in a regression model Statement B is correct but Statement A is incorrect O d.The interpretation of the slope coefficient in the model In (Y₁) = Bo + B₁ln (X;) + μ; is as follows: O A. a 1% change in X is associated with a change in Y of 0.01 B₁. O B. a change in X by one unit is associated with a 100 B₁ % change in Y. O C. a change in X by one unit is associated with a ₁ change in Y. D. a 100% change in X is associated with a 100 ₁ % change in Y.
- According to the following given information how to determine: 12 3 4 5 6 7 8 9 10 11 11 12 13 12 13 14 15 970 1,180 1,239 1,293 1,350 1,398 1,410 1,480 1,492 1,500 1,520 1,592 1,605 1,660 1,685 A) Break Even-point or points? B) How is to construct the relationship between entire variables through the simple drawing for all above figures and highlighting of Break Even point the drawing? C) Justify your final answer for each line of production. Production Times (months) product of (Z unit)The following is an equation of a straight line: (A): 5y-15x+35=0, What's the slope of the equation (A), with its verbal description? * Slope =3 , if x increases by 1 unit y increases by 3 Slope =1, if y increases by 1 unit x increases by 3 Slope =1, if x increases by 3 unit y increases by 1 Slope =3, if y increases by 1 unit x increases by 3Which of the following statements about the R-squared statistic of a linear estimation (or linear regression) is true? An R-squared statistic of 0.6 means the variation of the independent (explanatory) variable explains about 60% of the variation of the dependent variable. O An R-squared statistic of 0.6 means 60% the variation of the dependent variable cannot be explained by the variation of the independent (explanatory) variable. O An R-squared statistic of 0.6 means the variation of the dependent variable explains about 60% of the variation of the independent (explanatory) variable.
- Bob'd Underground, limited liability corporation specializing in new rap artists (B.U.LLC,rap) has the following demand function: = a + bp + CM +dR where is the quantity demanded of the most popular product B.U. sells, P is the price of that product, M is income, and R is the price of a related product. The regression results are: Adjusted R Square Independent Variables Intercept P M R 0.7711 Coefficients -25.995 -4.582 0.0063 3.09 Standard Error 69.306 1.463 0.002 1.219 t Stat P-value -0.375 0.71008 -3.133 0.00369 3.948 0.00040 2.531 0.016489_If you want to estimate regression where sales is dependent and advert_expenditure is independent varable, you write .. Select one: a. Im(sales advert_expenditure) b. regres(advert_expenditure~sales) c. Im(advert_expenditure~sales) d. regres(sales-advert_expenditure) .....The predicted value of y_i is Select one: O a. the value that y_i takes on when x_i equals 0. O b. the effect that a one-unit change in the dependent variable is expected to have on the independent variable, holding all else constant. O c. the value of y_i when the slope is multiplied a specific x_i and then that value is added to the intercept. O d. the observed value of the dependent variable that is associated with a specific value of the independent variable.
- 6 9 13 Yi 7 18 9. 26 23 a. Which of the following scatter diagrams accurately represents the data? A. 24+ 24+ 20- 20- 16+ 16+ 12+ 12+ 8+ 8+ 4- -4 4 12 16 24 28 x -4 4 8. 12 16 20 24 28 x -4t -4t С. D. 24 -----24+ 20- 20- 16- 16- 20 B. 20 00 00 O.d/My courses / Faculty Of Economics & Administratiive Sciences / ECON309 / Finals / ECON 309 Fin 13. In the simple linear regression model, the regression slope a. O a. indicates by how many percent Y increases, given a one percent increase in X. ut of O b. represents the elasticity of Y on X. uestion Oc. when multiplied with the explanatory variable will give you the predicted Y. O d. indicates by how many units Y increases, given a one unit increase in X. nageThe following graph contains four lines (A, B, C and D), each of which has a slope that is either positive, negative, zero, or infinite. Y-axisX-axisBDCA For each of the following scenarios, indicate whether the relationship between the two variables is positive or negative, as well as which line on the previous graph has a slope that reflects this type of relationship. Hint: The X-axis and Y-axis on the graph are not labeled intentionally. You need to substitute the variables from each scenario for the horizontal and vertical axis. For example, in the first scenario, X-axis should be labeled “ ice-cream" and Y-axis should be labeled "The temperature". Scenario Relationship Line As the temperature rises, the demand for ice-cream rises. Negative As the temperature rises, the demand for hot cocoa falls. Positive As the temperature falls, the demand for popsicles falls. Negative True or False: Line B has a slope of infinity.…