Answer plzz... The graph shows the benefits and costs of consuming BK Breakfast Burgers.Marginal Benefit and Marginal CostMarginal benefit,marginal cost (perBK breakfast Burger)8Your answer:7654321IT11I2 314 5Marginalbenefit1617MarginalcostI 1 189 10Quantity of BKBreakfast BurgersAt the optimal quantity, what is the total cost of the burgers that are purchased?X

Total cost is the sum of all costs incurred by a firm in producing a certain level of output.

The graph shows the benefits and costs of consuming BK Breakfast Burgers. Marginal Benefit and Marginal Cost Marginal benefit, marginal cost (per BK breakfast Burger) 8 Your answer: 7 6 5 4 3 2 1 T T I 1 I 2 1 3 I 4 Marginal benefit I 1 5 6 1 7 1 1 8 Marginal cost 9 10 Quantity of BK Breakfast Burgers At the optimal quantity, what is the total cost of the burgers that are purchased? X

The graph shows the benefits and costs of consuming BK Breakfast Burgers. Marginal Benefit and Marginal Cost Marginal benefit, marginal cost (per BK breakfast Burger) 8 Your answer: 7 6 5 4 3 2 1 T T I 1 I 2 1 3 I 4 Marginal benefit I 1 5 6 1 7 1 1 8 Marginal cost 9 10 Quantity of BK Breakfast Burgers At the optimal quantity, what is the total cost of the burgers that are purchased? X

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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3. Rubax, a U.S. manufacturer of athletic shoes, estimates the following linear trend model for shoe sales: Qt = a+bt+c1D1+c2D2+c3D3Where, Qt = sales of athletic shoes in the t-th quartert = 1, 2, . . . . , 28 [2011(I), 2011(II), . . . . , 2017(IV)]D1 = 1 if t is quarter I (winter); 0 otherwiseD2 = 1 if t is quarter II (spring); 0 otherwiseD3 = 1 if t is quarter III (summer); 0 otherwiseThe regression analysis produces the following results: Is there sufficient statistical evidence of an upward trend in shoe sales? explain Do these data indicate a statistically significant seasonal pattern of sales for Rubax shoes? If so, what is the seasonal pattern exhibited by the data? Using the estimated forecast equation, forecast sales of Rubax shoes for 2018(III) and 2019(II).
Consider the following regression estimates (FN2) Linear regression belavg abvavg female married _cons b. 1 wage O C. 5 O d. 4 Robust Coef. Std. Err. 3047845 3150202 2820787 -1.063254 .0693348 -2.751963 .9686236 .2612646 6.699098 .2889831 Number of obs F(4, 1255) Prob > F R-squared Root MSE t P>|t| -3.49 0.001 0.22 0.826 -9.76 0.000 3.71 0.000 23.18 0.000 |||||||||| = = .45606 6.132155 = -1.661197 -.5486894 -3.305361 = = [95% Conf. Interval] 1,260 56.35 0.0000 0.1121 4.3987 assume that MLR 1-6 hold. In the regression above, how many coefficients (including the constant) are statistically significant at the 1% level? a. 3 -.4653108 .687359 -2.198565 1.481187 7.266042
Each term (3 months) the current group of economics students completed a questionnaire as to how much they would spend on new purchases compared to how much they would save/pay off bills, if they suddenly and unexpectedly received a check for $1,000. The average MPC is shown in the table below. Month in which student poll was taken Average of students’ responses as MPC March 0.41 June 0.30 September 0.22 December 0.56 What do these MPC’s imply about the students’ thinking over the course of the year? (Enter response here.) What is likely happening in the economy during the same period of time?
Chegg Home Expert Q&A My solutions Student question Time Left: 00:09:16 Use the data set Home Morloage Disdosure Act Data (HMDA) from the AER package. Subtract 1 from the factor "Was the mortage denied?". Then, eatimate the Inear regression model of paymentsto - income rato on the factor "Was the mortage denied?" ising Ols. Based on these results, the prebabity a mertougo will be denled if the payment - to - income ratio is equal to 2 is a. 1.13 b. 0.107 c. None of these d. 0.52 e. 1.00 Use the data set Home Mortgage Disclosure Act Data (HMDA) from the AER package. Subtract 1 from the factor "Was the mortage denied?". Then, estimate the linear regression model of payments-to-income ratio on the factor "Was the mortage denied?" using OLS. Based on these results, the probability a mortgage will be denied if the payment-to-income ratio is equal to 2 is a. 1.13 Ob.0.87 Oc None of these d.0.52 1.00
and Q Por guantity P for aice What is of this curve? (4,6). C2), (S,10) the algebraic farmela
How should be the following given be treated while estimating national income (1) bonus paid to employees
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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.