You estimated the following relationship between the annual salary (S) and the length of employment in the retail sector (LEmp), using a large sample. Salary is measured in dollars and Length of employment in years. The results are as follows: Ŝ; = 23, 005 + 1, 534.4LEmpi i (6,450.8) (524.5) where the appropriate standard errors of the estimators are given in parentheses. The 99% confidence interval for the slope is approximately: O [183.4, 2885.4] [1009.9, 2058.9] O [506.4, 2562.4] O [671.7, 2397.1]
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- The models below have been estimated using monthly data for the period 2000: 1-2020: 12. The natural logarithm of the variables used in this model is taken and the transaction is made. D08 is the dummy variable that takes a value of 1 in 2008 and after and 0 in other periods. s.e. indicates the standard error. Comment on the coefficients of variables D08 and (X2t * D08) in the model (3) above.The rate of U.S. per capita sales of bottled water for the period 2000–2010 can be approximated by s(t) = −0.18t2 + 3t + 15 gallons per year (0 ≤ t ≤ 10), where t is the time in years since the start of 2000.† After conducting a survey of sales in your state, you estimate that consumption in gyms accounts for a fraction f(t) = 0.2 + 0.04t of all bottled water consumed in year t. Assuming that your model is correct, estimate, to the nearest gallon, the total amount of bottled water consumed per capita in gyms from the start of 2002 to the start of 2010. HINT [Rate of consumption = s(t)f(t).] _____galIs it true of false that the classical errors in variables (CEV) assumption is that the measurement error is correlated with the unobserved true value of the explanatory variable.
- A large school district is reevaluating its teachers' salaries. They have decided to use regression analysis to predict mean teacher salaries at each elementary school. The research has come up with the following prediction equation: Y = $18012.24 + 1432.37X1 - 4.07 X2 where X1 = Yrs Exp and X2 = Yrs Exp2 (a) If a teacher has 7 years of experience, what is the expected salary? (b) If teacher has 10 years of experience, what is the expected salary?Define the Ordinary Least Square estimator is linear and conditionally unbiased?ou have just used the capability index (Cpk) formulas to compute the two values "min [1, 1]." Which of the following is the proper interpretation of these numbers? Multiple Choice The mean of the production process has shifted to the right of the design limits. The mean of the production process has shifted to the left of the design limits. The mean has not shifted at all. The true capability index value is exactly 1. None of these choices are correct.
- A car company wants to know the monthly sales made in ($000), based on the brand of vehicle. The data collected was entered on a MINITAB spreadsheet for analysis. Exhibit II below was subsequently generated. Exhibit 2 Model N Mean Median Tri.Mean Std Dev S.E. Mean Hyundai 23 109 135 107.64 * 1.34 Toyota 27 165 124 143.65 9.5 ** Determine the values of * and **. Give the unbiased point estimate for the average monthly earning from Hyundai Give the unbiased point estimate for the variance of monthly earning from Hyundai Assuming normality, construct and interpret a 90% confidence interval for the average monthly earning from Toyota You are required to test at the 5% level of significance the hypothesis that the average monthly earnings on Hyundai Vehicles is equal to $110,000 versus the alternative that it is different from $110,000.The following data relate the sales figures of restaurant, to the number of customers registered that week: Week Customers Sales (SR) First 16 330 Second 12 270 Third 18 380 Fourth 14 300 a) Perform a linear regression that relates bar sales to guests (not to time). b) If the forecast is for 20 guests next week, what are the sales expected to be?Past class data has shown that the regression line relating the final exam score and the midterm exam score for students who take statistics from the College of Information Technology and Engineering from Dr. Kalaw is: final exam = 50 + 0.5 × midterm One interpretation of the slope is a. students only receive half as much credit (.5) for a correct answer on the final exam compared to a correct answer on the midterm exam. b. a student who scored 0 on the midterm would be predicted to score 50 on the final exam. c. a student who scored 10 points higher than another student on the midterm would be predicted to score 5 points higher than the other student on the final exam. d. a student who scored 0 on the final exam would be predicted to score 50 on the midterm exam.