10 Suppose that in a particular state a standardized test is given to all graduating se- niors. Let score denote a student's score on the test. Someone discovers that perfor- mance on the test is related to the size of the student's graduating high school class. The relationship is quadratic: score = 45.6+ .082 class .000147 class², where class is the number of students in the graduating class. (i) How do you literally interpret the value 45.6 in the equation? By itself, is it of much interest? Explain. (ii) From the equation, what is the optimal size of the graduating class (the size that maximizes the test score)? (Round your answer to the nearest integer.) What is the highest achievable test score? (iii) Sketch a graph that illustrates your solution in part (ii).

10 Suppose that in a particular state a standardized test is given to all graduating se- niors. Let score denote a student's score on the test. Someone discovers that perfor- mance on the test is related to the size of the student's graduating high school class. The relationship is quadratic: score = 45.6+ .082 class .000147 class², where class is the number of students in the graduating class. (i) How do you literally interpret the value 45.6 in the equation? By itself, is it of much interest? Explain. (ii) From the equation, what is the optimal size of the graduating class (the size that maximizes the test score)? (Round your answer to the nearest integer.) What is the highest achievable test score? (iii) Sketch a graph that illustrates your solution in part (ii).

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

.A researcher is collecting individual data by asking visitors in a train station in a medium sized town to fill in a questionnaire. It takes nearly 30 minutes to complete the survey questions. To encourage higher participation rate, the researcher provides a small financial incentive that is enough to buy a sandwich. The researcher wants to use this sample to make predictions about effect of using social media on health among the residents of the town. a. Explain the random sampling assumption, that is one of the Gauss-Markov assumptions for linear regressions. b. Do you think this assumption is satisfied in the sample collected by the researcher? c. What are the possible consequences of violation of random sampling assumption for predictions based on this sample?
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?
2 The sample variance is _______. a 8285.94 b 9469.64 c 10521.83 d 11690.92
Hi, I could not solve questions d, e, and f. Could you please help me with this? Thank you!
What is this equation used for? What do the variables mean? Can you give an example how a research study can be applied to this formula? Does it account for control variables ?
Give an example of a kind of sampling error you might see in a poll besides random sampling error
at job group(Occupation) was the smallest among immigrants? Why do you think so few people from that group came to the United States?2.) What job group was the largest? Why do you think so many people from that group came to the United States?
12
3)
1