Which of the following are consequences of heteroscedasticity for regression analysis? Choose as many statements as you think are correct.Incorrect answers are penalised.O a. Confidence intervals computed using the standard methods do not have the correct probability coverage.O b. The standard OLS estimator of B, is biased for i == 1,...,kO. The estimated standard errors of the coefficient estimators, computed using the standard method, are reliable.O d. The standard OLS estimator of a is biased.O e. The standard OLS estimator of B, is inefficient for i = 1,..., k.Of. The t-statistics produced by the OLS procedure in Gretl should be disregarded, but the p-values are reliable.

Answer : Option (a), (c) & (e) are corrcet ✔️

Answered: Which of the following are consequences…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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4. Sales, in million pesos, of a certain company are shown here. 4 5 Sales (Y) P12 P15 P17 P18 P16 P19 P21 P20 P22 P24 Year (X) 2 3 6 7 8 9 10 Determine the regression equation. Solve for the sum of squares for error, standard error, coefficient of determination. Find the 90% confidence interval for all year for the 12th year. Determine a 95% prediction interval for the 12th year. Step 1: Complete the table. |X Y X? Y? XY 1 12 2 15 3 17 4 18 5 17 6 19 7 22 8 20 9 23 10 | 26 Step 2: Solve for thee following: Ex = ΣΥ X =. Y = Σχ E Y² = , ΣΧΥ Slope (b,): Intercept (bo): Simple Linear Regression Equation(Ỹ = b,X + bo): Standard Error of Estimate(sp): Coefficient of Determination(r²): Confidence Interval: Prediction Interval:
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A linear regression model was fit to a set of data containing 18 observations. The computer output of the regression analysis is shown in the table. Term CoefCoef SE CoefSE Coef TT Constant 12.00 5.43 2.210 xx 0.694 0.241 2.880 Assume the conditions for regression are met. Which of the following defines the margin of error when a 95 percent confidence interval for the slope of the least-squares regression line is calculated? (1.75)(0.241) A (1.75)(0.694) B (1.96)(0.241) C (2.12)(0.241)) D (2.12)(0.694) E
Select each of the true statements below concerning residuals and error terms in a simple regression. No partial credit. NA. The error term is the vertical distance from a data point to the true line. B. A residual is the vertical distance from a data point to the fitted line. C. In OLS, regression coefficients are selected to minimize the sum of squared error terms. D. The sum of squared residuals, when divided by n-k-1, provides our estimated variance of the error term. E. The error term can be thought of as an estimated residual.
In the country of United States of Heightlandia, the height measurements of ten-year-old children are approximately normally distributed with a mean of 53.3 inches, and standard deviation of 2.2 inches.What is the probability that the height of a randomly chosen child is between 51.3 and 57.1 inches? Do not round until you get your your final answer, and then round to 3 decimal places.Answer=___________ (Round your answer to 3 decimal places.)
Parts b, c, and d only please.
. Interpret your result from part (a) if the assumptions for regression inferences hold. Choose the correct interpretation below. A. Presuming that the variables age and price for Corvettes satisfy the assumptions for regression inferences, the standard error of the estimate provides an estimate for the common population standard deviation, σ, of ages for all Corvettes of any particular price. B. Presuming that the variables age and price for Corvettes satisfy the assumptions for regression inferences, the standard error of the estimate provides an estimate for the slope, β1, of the population regression equation for ages for all Corvettes of any particular price. C. Presuming that the variables age and price for Corvettes satisfy the assumptions for regression inferences, the standard error of the estimate provides an estimate for the common population standard deviation, σ, of prices for all Corvettes of any particular age. D. Presuming that…
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12. measures the strength of the relationship between the dependent and independent variables. 13. One way to examine whether two variables might be linearly related is to construct a 14. The assumption of equal standard deviations about the regression line is called

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