b. From Table 2, explain the total variations of the regression model in this study. c. Answer the following questions based on Table 3. i. Develop a research framework by indicating relevant independent variables and dependent variable. ii. Explain the collinearity diagnostic for each of the independent variables in the study. iii. Analyze Table 3 and interpret the findings. d. Discuss FOUR (4) assumptions prior to multiple regression analysis.Table 1: ANOVA Mode Sum of Squares df Mean Square F Sig. Regression 35.428 4 8.857 38.005 000b 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 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