Want to explain these outputs? Standardized Residual forRoot lenghta. Lilliefors Significance CorrectionDependent Variable: LNYSourceCorrected ModelInterceptTreatmentStatisticKolmogorov-SmimoydfTests of Normality.103Type III Sum ofSquares58.344497.040Tests of Between-Subjects Effectsdf9129954.4194Type1.8871Treatment Type1.4224Error54.814289Total607.848299Corrected Total113.1582988. R Squared = .516 (Adjusted R Squared = .501)Sig..000Statistic13.6051.887.356190.947Shapiro-WilkdfMean SquareF6.48334.179497.040 2620.56571.7289.9491.875299Sig..000.000.000.002.115Sig.U1.000 LNYLevene's Test of Equality of Error Variancesa,bLeveneStatisticBased on MeanBased on MedianBased on Median andwith adjusted dfDependent Variable: LNYSourceCorrected ModelInterceptTreatmentTypeTreatment TypeErrorTotalType III Sumof Squares58.344ª497.04054.4191.8871.42254.814607.848113.158Based on trimmed mean2.908289Tests the null hypothesis that the error variance of the dependent variable is equalacross groups.a. Dependent variable: LNYb. Design: Intercept + Treatment + Type + Treatment * Typedf3.1272.1782.178Tests of Between-Subjects Effects91414289299298df199Mean Square6.483Corrected Totala. R Squared= .516 (Adjusted R Squared= .501)99df2289289198.613F34.179497.040 2620.56513.60571.7281.8879.9493561.875.190Sig..001.024.025.003Sig..000.000.000002.115

Anova is the measure of parametric test. It test the mean significance between the three or more…

Answered: Want to explain these outputs?

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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Part 1 of 4 Does the length of a surgery patient's stay in the hospital depend on the length of time the operation took? The table below gives the operative time (in hours) and the length of the hospital stay (in days) for 10 patients. (Comma separated lists of the data are also provided below the table to ease in copying the data to R.) Operative Time (x) Length of Hospital Stay (y) 5 13 13 12 12 14 17 4 12 3 12 7 15 3 x: 5, 5, 5, 2, 6, 5, 4, 3, 7, 3 y: 13, 13, 12, 12, 14, 17, 12, 12, 15, 7 Conduct a hypothesis test with a 5% level of significance to determine whether or not the operative time and the length of a patient's hospital stay are correlated. Step 1: State the null and alternative hypotheses. Ho:p = test.) (So we will be performing a two-tailed O Rost to forum
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