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a nested model F-test to compare Model 1 (with 5 predictors) with Model 2 (with 9 predictors) at a -0.05 level of significance. (a) L Hypotheses • Null hypothesis Hois stated as • Alternative hypothesis H is stated as (b) [1 The F value equals to Round to TWO decimal places. (c) i Degrees of freedom Numerator DF = • Denominator DF - (d) eject region is (e) (reject or fail to reject) the null hypothesis at a - 0.05 level of We significance. This means that

a nested model F-test to compare Model 1 (with 5 predictors) with Model 2 (with 9 predictors) at a -0.05 level of significance. (a) L Hypotheses • Null hypothesis Hois stated as • Alternative hypothesis H is stated as (b) [1 The F value equals to Round to TWO decimal places. (c) i Degrees of freedom Numerator DF = • Denominator DF - (d) eject region is (e) (reject or fail to reject) the null hypothesis at a - 0.05 level of We significance. This means that

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Consider a multiple regression model for predicting the total number of runs scored by a Major LeagueBaseball (MLB) team during a season. Model 1. Using data on number of walks (x), singles (x2), doubles (x3), triples (x4), and home runs (xs) for each of the 30 teams during the 2017 MLB season, a first-order model for total number of runs scored (y) was fit. The selected results are shown in the SAS printout below. Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr >F Model Error 477.21362 Corrected Total 123264 Model 2. Using data on number of walks (x1), singles (x2), doubles (x3), triples (x4), home runs (xs), stolen bases (x6), times caught stealing (x7), strike-outs (xs), and ground outs (x9) for each of the 30 teams during the 2017 MLB season, a first-order model for total number of runs scored (y) was fit. The selected results are shown in the SAS printout below. Analysis of Variance Sum of Мean DF Squares Square F Value Pr>F Source 114360 12707 28.54 <.0001 Model 20 8903.78716 445.18936 Error 29 123264 Corrected Total
Transcribed Image Text:Consider a multiple regression model for predicting the total number of runs scored by a Major LeagueBaseball (MLB) team during a season. Model 1. Using data on number of walks (x), singles (x2), doubles (x3), triples (x4), and home runs (xs) for each of the 30 teams during the 2017 MLB season, a first-order model for total number of runs scored (y) was fit. The selected results are shown in the SAS printout below. Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr >F Model Error 477.21362 Corrected Total 123264 Model 2. Using data on number of walks (x1), singles (x2), doubles (x3), triples (x4), home runs (xs), stolen bases (x6), times caught stealing (x7), strike-outs (xs), and ground outs (x9) for each of the 30 teams during the 2017 MLB season, a first-order model for total number of runs scored (y) was fit. The selected results are shown in the SAS printout below. Analysis of Variance Sum of Мean DF Squares Square F Value Pr>F Source 114360 12707 28.54 <.0001 Model 20 8903.78716 445.18936 Error 29 123264 Corrected Total
Conduct a nested model F-test to compare Model 1 (with 5 predictors) with Model 2 (with 9 predictors) at a - 0.05 level of significance. (a) L Hypotheses • Null hypothesis Hois stated as • Alternative hypothesis Hjis stated as (b) (1 y The F value equals to Round to TWO decimal places. (c) [ij Degrees of freedom Numerator DF = • Denominator DF = (d) veject region is (e) (reject or fail to reject) the null hypothesis at a = 0.05 level of We significance. This means that
Transcribed Image Text:Conduct a nested model F-test to compare Model 1 (with 5 predictors) with Model 2 (with 9 predictors) at a - 0.05 level of significance. (a) L Hypotheses • Null hypothesis Hois stated as • Alternative hypothesis Hjis stated as (b) (1 y The F value equals to Round to TWO decimal places. (c) [ij Degrees of freedom Numerator DF = • Denominator DF = (d) veject region is (e) (reject or fail to reject) the null hypothesis at a = 0.05 level of We significance. This means that
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