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MATLAB: An Introduction with Applications
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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Standardized Residual for Root lenght a. Lilliefors Significance Correction Dependent Variable: LNY Source Corrected Model Intercept Treatment Statistic Kolmogorov-Smimoy df Tests of Normality .103 Type III Sum of Squares 58.344 497.040 Tests of Between-Subjects Effects df 9 1 299 54.419 4 Type 1.887 1 Treatment Type 1.422 4 Error 54.814 289 Total 607.848 299 Corrected Total 113.158 298 8. R Squared = .516 (Adjusted R Squared = .501) Sig. .000 Statistic 13.605 1.887 .356 190 .947 Shapiro-Wilk df Mean Square F 6.483 34.179 497.040 2620.565 71.728 9.949 1.875 299 Sig. .000 .000 .000 .002 .115 Sig. U 1.000
Transcribed Image Text:Standardized Residual for Root lenght a. Lilliefors Significance Correction Dependent Variable: LNY Source Corrected Model Intercept Treatment Statistic Kolmogorov-Smimoy df Tests of Normality .103 Type III Sum of Squares 58.344 497.040 Tests of Between-Subjects Effects df 9 1 299 54.419 4 Type 1.887 1 Treatment Type 1.422 4 Error 54.814 289 Total 607.848 299 Corrected Total 113.158 298 8. R Squared = .516 (Adjusted R Squared = .501) Sig. .000 Statistic 13.605 1.887 .356 190 .947 Shapiro-Wilk df Mean Square F 6.483 34.179 497.040 2620.565 71.728 9.949 1.875 299 Sig. .000 .000 .000 .002 .115 Sig. U 1.000
LNY Levene's Test of Equality of Error Variancesa,b Levene Statistic Based on Mean Based on Median Based on Median and with adjusted df Dependent Variable: LNY Source Corrected Model Intercept Treatment Type Treatment Type Error Total Type III Sum of Squares 58.344ª 497.040 54.419 1.887 1.422 54.814 607.848 113.158 Based on trimmed mean 2.908 289 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Dependent variable: LNY b. Design: Intercept + Treatment + Type + Treatment * Type df 3.127 2.178 2.178 Tests of Between-Subjects Effects 9 1 4 1 4 289 299 298 df1 9 9 Mean Square 6.483 Corrected Total a. R Squared= .516 (Adjusted R Squared= .501) 9 9 df2 289 289 198.613 F 34.179 497.040 2620.565 13.605 71.728 1.887 9.949 356 1.875 .190 Sig. .001 .024 .025 .003 Sig. .000 .000 .000 002 .115
Transcribed Image Text:LNY Levene's Test of Equality of Error Variancesa,b Levene Statistic Based on Mean Based on Median Based on Median and with adjusted df Dependent Variable: LNY Source Corrected Model Intercept Treatment Type Treatment Type Error Total Type III Sum of Squares 58.344ª 497.040 54.419 1.887 1.422 54.814 607.848 113.158 Based on trimmed mean 2.908 289 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Dependent variable: LNY b. Design: Intercept + Treatment + Type + Treatment * Type df 3.127 2.178 2.178 Tests of Between-Subjects Effects 9 1 4 1 4 289 299 298 df1 9 9 Mean Square 6.483 Corrected Total a. R Squared= .516 (Adjusted R Squared= .501) 9 9 df2 289 289 198.613 F 34.179 497.040 2620.565 13.605 71.728 1.887 9.949 356 1.875 .190 Sig. .001 .024 .025 .003 Sig. .000 .000 .000 002 .115
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