Table 1: ANOVAModelSum of SquaresdfMean SquareFSig.1Regression35.42848.85738.005.000Residual57.097245.233Total92.525249a. Dependent Variable: Teacher's Motivationb. Predictors: (Constant), Rewards & Incentives, Individual Characteristics, Employee Training, WorkEnvironmentTable 2: Model SummaryModelRRAdjusted RStd. Error ofSquareSquarethe Estimate1.619a.383.373.48275Table 3: Coefficient AnalysisModelUnstandardizedStandardizedSig.CollinearityCoefficientsCoefficientsStatisticsBStd.BetaToleranceVIFError1(Constant).255.310.825.410Rewards &.434.073.3465.971.000.7491.335IncentivesIndividual.305.083.2153.673.000.7321.366CharacteristicsEmployee.170.050.1883.387.001.8211.218TrainingWork.090.055.0891.648.101.8691.151EnvironmentA multiple regression analysis output above are based on Determinants of Teacher'sMotivation in Higher Education Institution in Sri Lanka. (Farouk, 2019)a. Analyze Table 1 and interpret the findings. b.From Table 2, explain the total variations of the regression model in this study.Answer the following questions based on Table 3.Develop a research framework by indicating relevant independent variables anddependent variable.c.1.11.Explain the collinearity diagnostic for each of the independent variables in the study....111.Analyze Table 3 and interpret the findings.d.Discuss FOUR (4) assumptions prior to multiple regression analysis.

Answered: A multiple regression analysis output…

A multiple regression analysis output above are based on Determinants of Teacher's Motivation in Higher Education Institution in Sri Lanka. (Farouk, 2019)

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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