Consider the following model Y=B1+B2 X2 +e. Assume you change the scale of the y and X variables in such a way that Y =aY and X2*=bX2. and you run the regression Y*=B1*+B2* X. What effect this scaling will have on the slope Select one: a. B2=Da+b (B2) O b. B2*-a/b^2 (B2) O c. B2*=ab (B2) O d. B2*-a/b (B2)

Consider the following model Y=B1+B2 X2 +e. Assume you change the scale of the y and X variables in such a way that Y =aY and X2=bX2. and you run the regression Y=B1+B2 X. What effect this scaling will have on the slope Select one: a. B2=Da+b (B2) O b. B2-a/b^2 (B2) O c. B2=ab (B2) O d. B2*-a/b (B2)

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

See similar textbooks

Similar questions

d. If the director used these 4 weeks of data to create a linear regression, what does that linear regression formula suggest for this week's forecast of employee appointments? What does the regression analysis suggest in general about employee appointments for Director Very Busy?
In IS-MP model what variable is on horizontal axis? If IS-MP have different variable on horizontal axis how can we put these two curves into one diagram?
8. Which of the following best describes the linear probability model? The model is the application of the linear multiple regression model to a binary dependent variable The model is an example of probit estimation The model is another form of logit estimation The model is the application of the multiple regression model with a binary variable as at least one of the regressors OO
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…
what is the mathematical way to solving this, i used the slope formula but i dont know if that is the way to get answer.
Refresh your Math & Graphing Skills SOP-A D 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. X-axis 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 The average grade received" and Y-axis should be labeled "The number of hours spent studying". Scenario As the number of hours spent studying rises, the average grade received rises. As the number of hours spent studying falis, the likelihood of getting an A falls. As the number of hours spent watching TV rises, the average grade received falls. True True or False: Line B has a slope of infinity. O False www Relationship Line Y
3. Boyoung is writing a paper about the effect of Sunday liquor sales on drunk driving. She has panel data on which states allow liquor to be sold on Sunday in which years and wishes to estimate a difference-in-differences model. She writes the following regression equation: Year DUIRate;; = atate +a? + BTreatmentt +yControl;t + Eit i Which of the following changes does Boyoung need to make? a) She should include a constant in the regression equation. b) She should not include controls because they're already accounted for by fixed effects. c) She should include a time trend instead of time-fixed effects. d) None of the above are changes she needs to make.
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)
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. nage
Zeitler’s Department Stores sells its products online and through traditional brick-andmortarstores. The following parallel coordinates plot displays data from a sample of20 customers who purchased clothing from Zeitler’s either online or in-store. The datainclude variables for the customer’s age, annual income, and the distance from the customer’shome to the nearest Zeitler’s store. According to the parallel coordinates plot, howare online customers differentiated from in-store customers?
Hi, could you help me solve 1-1.3.?
What is a linear regression model? What is measured by the coefficients ofa linear regression model? What is the ordinary least squares estimator?