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QUESTION 4 Sweet Travel Agency is conducting a study to determine whether the tourists' intention to travel are affected by attitude, subjective norms, and knowledge. Table 4 below shows the regression output of the study. Table 4. regression output SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.8354 0.6979 0.6332 0.9687 18 ANOVA F 10.7814681 Significance F 0.00061854 Regression Residual Total df 3 14 17 MS 10.1165206 0.93832495 SS 30.3495618 13.1365493 43.4861111 Standard Coefficients Error Stat P-value Lower 95% Upper 95% Intercept -4.8920 2.0212 -2.4204 0.0297 -9.2270 -0.5571 Technology 0.0928 0.3675 0.2526 0.8042 -0.6953 0.8810 Population 0.8783 0.3920 2.2405 0.0418 0.0375 1.7191 Planted Area 0.7942 0.2183 3.6376 0.0027 0.3259 1.2625 Note that the dependent variable is 'rice production'. Based on regression analysis above and given a is 0.05, answer the following questions: a. Write and interpret the regression model (equation). (3m) b. Explain Multiple R and R square (2m) c. Interpret Analysis of variance (ANOVA) hypothesis testing (2m) d. Interpret ALL the independent variables using independent sample t-test hypothesis testing (8m)