Table 1: ANOVA Model Sum of Squares df Mean Square F Sig. 1 Regression 35.428 4 8.857 38.005 .000 Residual 57.097 245 .233 Total 92.525 249 a. Dependent Variable: Teacher's Motivation b. Predictors:...

Table 1: ANOVA<br>Model<br>Sum of Squares<br>df<br>Mean Square<br>F<br>Sig.<br>1<br>Regression<br>35.428<br>4<br>8.857<br>38.005<br>.000<br>Residual<br>57.097<br>245<br>.233<br>Total<br>92.525<br>249<br>a. Dependent Variable: Teacher's Motivation<br>b. Predictors: (Constant), Rewards & Incentives, Individual Characteristics, Employee Training, Work<br>Environment<br>Table 2: Model Summary<br>Model<br>R<br>R<br>Adjusted R<br>Std. Error of<br>Square<br>Square<br>the Estimate<br>1<br>.619a<br>.383<br>.373<br>.48275<br>Table 3: Coefficient Analysis<br>Model<br>Unstandardized<br>Standardized<br>Sig.<br>Collinearity<br>Coefficients<br>Coefficients<br>Statistics<br>B<br>Std.<br>Beta<br>Tolerance<br>VIF<br>Error<br>1<br>(Constant)<br>.255<br>.310<br>.825<br>.410<br>Rewards &<br>.434<br>.073<br>.346<br>5.971<br>.000<br>.749<br>1.335<br>Incentives<br>Individual<br>.305<br>.083<br>.215<br>3.673<br>.000<br>.732<br>1.366<br>Characteristics<br>Employee<br>.170<br>.050<br>.188<br>3.387<br>.001<br>.821<br>1.218<br>Training<br>Work<br>.090<br>.055<br>.089<br>1.648<br>.101<br>.869<br>1.151<br>Environment<br>A multiple regression analysis output above are based on Determinants of Teacher's<br>Motivation in Higher Education Institution in Sri Lanka. (Farouk, 2019)<br>a. Analyze Table 1 and interpret the findings.<br>

Extracted text: Table 1: ANOVA Model Sum of Squares df Mean Square F Sig. 1 Regression 35.428 4 8.857 38.005 .000 Residual 57.097 245 .233 Total 92.525 249 a. Dependent Variable: Teacher's Motivation b. Predictors: (Constant), Rewards & Incentives, Individual Characteristics, Employee Training, Work Environment Table 2: Model Summary Model R R Adjusted R Std. Error of Square Square the Estimate 1 .619a .383 .373 .48275 Table 3: Coefficient Analysis Model Unstandardized Standardized Sig. Collinearity Coefficients Coefficients Statistics B Std. Beta Tolerance VIF Error 1 (Constant) .255 .310 .825 .410 Rewards & .434 .073 .346 5.971 .000 .749 1.335 Incentives Individual .305 .083 .215 3.673 .000 .732 1.366 Characteristics Employee .170 .050 .188 3.387 .001 .821 1.218 Training Work .090 .055 .089 1.648 .101 .869 1.151 Environment A multiple regression analysis output above are based on Determinants of Teacher's Motivation in Higher Education Institution in Sri Lanka. (Farouk, 2019) a. Analyze Table 1 and interpret the findings.

b.<br>From Table 2, explain the total variations of the regression model in this study.<br>Answer the following questions based on Table 3.<br>Develop a research framework by indicating relevant independent variables and<br>dependent variable.<br>c.<br>1.<br>11.<br>Explain the collinearity diagnostic for each of the independent variables in the study.<br>...<br>111.<br>Analyze Table 3 and interpret the findings.<br>d.<br>Discuss FOUR (4) assumptions prior to multiple regression analysis.<br>

Extracted text: 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 and dependent 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.

Jun 09, 2022

SOLUTION.PDF

Table 1: ANOVA Model Sum of Squares df Mean Square F Sig. 1 Regression 35.428 4 8.857 38.005 .000 Residual 57.097 245 .233 Total 92.525 249 a. Dependent Variable: Teacher's Motivation b. Predictors:...

Get Answer To This Question

Related Questions & Answers

Submit New Assignment