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14. Estimating the variance of the error term
educ = years of education | |
u = error term |
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- Question 2 Suppose we are interested in the effect of attending a particular school on students’ income in adulthood. Let malei be a dummy variable which is equal to 1 if student i is male. Translate the following mathematical expression into plain English E(Yi(1) − Yi(0)|malei = 1). Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this line .Differentiate the function. 2x3 y = 7 4x3 dy dx 3. ||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.
- 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,How do we calculate mean deviation?Discuss its significance and use in variousconcepts of statistics. How it differs fromquartile deviationWhat is the difference between an unbiased estimator and a consistentestimator?
- A male oriented jeans manufacturer is interested in designing and marketing jeans exclusively designed for women. In this case, the primary segmentation variable the jeans manufacturing is using is: A Gender В Age C Race D Usage rateWhat statistic does Richard Freeman say that if an economist had predicted it, he/she would have been carted away as mad?In this exercise, you will investigate the relationship between earnings and height. These data are taken from the US National Health Interview Survey for 1994. Download the data from the table by clicking the download table icon . A detailed description of the variables used in the dataset is available here LOADING... . Use a statistical package of your choice to answer the following questions. Earnings and…
- Describe the Probabilistic Analysis?11 The sample data provides that ______ fraction of variations in the life insurance policy is explained by income. a 0.8120 b 0.8548 c 0.8998 d 0.94710 100 Frequency 150 200 250 300 350 50 50 The plot below shows in the first panel the distribution of ages across Basketball players at the Olympics. The second shows the distribution of ages across swimmers at the Olympics. Which descriptions below accurately describe the figures. Mark all that apply. Basketball Swimming Frequency 500 1000 1500 15 25 35 45 10 15 20 25 30 35 Age Age 2000 Both distributions exhibit a long-left tail The distribution of ages is relatively similar between basketball players and swimmers, though basketball players are slightly less common at older ages relative to swimmers. There are more swimmers at the Olympics than Basketball players The distribution of ages is relatively similar between basketball players and swimmers, though basketball players are slightly more common at older ages relative to swimmers.