Consider the following table that illustrates the regression results of three models. The standard errors are...

 

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Consider the following table that illustrates the regression results of three models. The standard errors are given in parentheses. The definition of variables: enroll staff droprate gradrate Dependent Variable: In(Salary) Independent Variables Intercept In(enroll) In(staff) droprate gradrate Observations R a) b) i) ii) ii) students enrollment number of academic and administrative staffs drop out rate (%) graduated rate (%) m [1] 9.5234 (0.4102) 0.1067 (0.1235) 408 0.0549 [2] 10.1176 (0.4852) 0.0874 (0.0401) -0.2155 (0.0811) 408 0.4213 [3] 12.7291 (0.6001) 0.0973 (0.0416) Interpret the R-squared for model 1. -0.2274 (0.0803) -0.0955 (0.0002) 0.0129 (0.0215) 408 0.4512 Interpret the slope coefficient of variable staff in model 2. Interpret the slope coefficient of variable droprate in model 3. Calculate the adjusted R-squared for model 2 and 3. (2 marks) (2 marks) (1 mark) (3 marks) Consider the following table that illustrates the regression results of three models. The standard errors are given in parentheses. The definition of variables: enroll staff droprate gradrate Dependent Variable: In(Salary) Independent Variables Intercept In(enroll) In(staff) droprate gradrate Observations R a) b) i) ii) ii) students enrollment number of academic and administrative staffs drop out rate (%) graduated rate (%) m [1] 9.5234 (0.4102) 0.1067 (0.1235) 408 0.0549 [2] 10.1176 (0.4852) 0.0874 (0.0401) -0.2155 (0.0811) 408 0.4213 [3] 12.7291 (0.6001) 0.0973 (0.0416) Interpret the R-squared for model 1. -0.2274 (0.0803) -0.0955 (0.0002) 0.0129 (0.0215) 408 0.4512 Interpret the slope coefficient of variable staff in model 2. Interpret the slope coefficient of variable droprate in model 3. Calculate the adjusted R-squared for model 2 and 3. (2 marks) (2 marks) (1 mark) (3 marks)

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a i The slope coefficient of the variable staff in model 2 is 02155 This means that for every oneuni... View the full answer