18. Suppose I am estimating the test scores of a group of students using OLS. I see that there is a constant difference between two groups of students in my data. What should I use to account for that difference in my OLS model?
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- 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). (iv) Does it seem likely that score and class would have a deterministic relationship? That is, is it realistic to think that once you know the size of a student's graduating class you know, with certainty, his or her test…Describe the Probabilistic Analysis?Has the researcher tested for representativeness: comparing the sex distribution ofthe population and of respondents, for example, or their ages, ethnicity, education, orincome?
- Q1. freq. density 2.0 Scores 4 10 25 In the histogram above the frequency of students who scored between O and 10 is 20. What is the frequency of students who scored between 10 and 25? A. 1.2 В. 12 C. 18 D. 25Is auto correlation possible in cross-sectional data? why?What does the term “variance analysis mean when applied of financial performance of health care organizations?
- 1. The following data represent the number of days absent and the final grade for a sample of college students in a general education courses at a large state university. 1 2 3 5 6 7 8 9 # of absences 0 Final Grade 89.2 86.4 83.5 81.1 78.2 73.9 64.3 71.8 65.5 66.2 a. Test whether there is a linear correlation between the number of absences and the final grade, use 0.01 level of significance. Assume requirements satisfied. b. Find the equation of least square regression line. c. Find the best predicted final grade for a student who misses five class periods.II. Performance Appraisal method of performance appraisal, show all possible pairs Using the Paired-Comparison for the following employees. Note: Show how many all possible pairs and compute for the number of possible pairs = N=? Abraham, Nathaniel, Desiree, Gregorio, Angelica, Daniel, JasperDifferentiate the function. 2x3 y = 7 4x3 dy dx 3. ||
- Question 19 An economist wants to estimate the relationship between earnings (in thousands of dollars) and years of education. She estimates the model Earnings BO+B1 *Education + E. The following is a portion of her results. Coefficient Standard Error Intercept 15.77 Education 4.21 Which of the following is true? 3.8 1.4 p-value 0.003 0.032 O If education is increased by one year, we predict that earnings will increase by $4,210. O If earnings are increased by $1000, we predict that education will increase by 21 O If education is increased by one year, we predict that earnings will increase by $3200. O If earnings are increased by $1000, we predict that education will increase by .032 years,24 John works in an appliance store. His sales commission depends on the number of units sold per period, and the overall average price of all units sold. The following is a report of his sales effort in a given month. The report shows the price and the percent of total units sold at that price. Percent of total units Item Price sold A $1,640 10% B 1270 25% C 860 35% D 460 20% E 200 10% The overall mean price of all items sold is, a $930.64 b $912.39 c $894.50 d $876.96What is the difference between an unbiased estimator and a consistentestimator?