1. Explain step by step the procedures involved in a) Testing the statistical significance of a single Multiple regression coefficient. b) Testing the statistical significance of all partial slope coefficient. 2. State with brief reasons whether the following statements are true, false or uncertain. a) The adjusted and unadjusted (R^{2} s) are identical only when the unadjusted (R^{2}) is equal to 1. b) When (R^{2}=1, F=0), and when (R^{2}=0, quad F=) infinite. c) When the d.f. exceed 120, the (5 %) critical (t) value (two-tail) and the (5 %) critical (Z) (standard normal) value are identical, namely, 1.96. d) When we say that an estimated regression coefficient is statistically significant, we mean that it is statistically different from 1. e) By the overall significance of a multiple regression we mean the statistical significance of any single variable included in the model. 1. Explain step by step the procedures involved in a) Testing the statistical significance of a single Multiple regression coefficient. b) Testing the statistical significance of all partial slope coefficient. 2. State with brief reasons whether the following statements are true, false or uncertain. a) The adjusted and unadjusted R's are identical only when the unadjusted R² is equal to 1. b) When R=1, F=0, and when R²=0, F-infinite. c) When the d.f. exceed 120, the 5% critical value (two-tail) and the 5% critical Z (standard normal) value are identical, namely, 1.96. d) When we say that an estimated regression coefficient is statistically significant, we mean that it is statistically different from 1. e) By the overall significance of a multiple regression we mean the statistical significance of any single variable included in the model.
1. Explain step by step the procedures involved in a) Testing the statistical significance of a single Multiple regression coefficient. b) Testing the statistical significance of all partial slope coefficient. 2. State with brief reasons whether the following statements are true, false or uncertain. a) The adjusted and unadjusted (R^{2} s) are identical only when the unadjusted (R^{2}) is equal to 1. b) When (R^{2}=1, F=0), and when (R^{2}=0, quad F=) infinite. c) When the d.f. exceed 120, the (5 %) critical (t) value (two-tail) and the (5 %) critical (Z) (standard normal) value are identical, namely, 1.96. d) When we say that an estimated regression coefficient is statistically significant, we mean that it is statistically different from 1. e) By the overall significance of a multiple regression we mean the statistical significance of any single variable included in the model. 1. Explain step by step the procedures involved in a) Testing the statistical significance of a single Multiple regression coefficient. b) Testing the statistical significance of all partial slope coefficient. 2. State with brief reasons whether the following statements are true, false or uncertain. a) The adjusted and unadjusted R's are identical only when the unadjusted R² is equal to 1. b) When R=1, F=0, and when R²=0, F-infinite. c) When the d.f. exceed 120, the 5% critical value (two-tail) and the 5% critical Z (standard normal) value are identical, namely, 1.96. d) When we say that an estimated regression coefficient is statistically significant, we mean that it is statistically different from 1. e) By the overall significance of a multiple regression we mean the statistical significance of any single variable included in the model.
Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4A: Problems In Applying The Linear Regression Model
Section: Chapter Questions
Problem 2E
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