I have a research report where I have already done the research and I just need the data analyzed and results presented. Everything is based on a regression analysis and the following questions need to be addressed. Charts and tables must be in excel and written results in word. I have attached my report showing the variables that need to be analyzed. Presentation and Interpretation of Results 6) Write the regression (prediction) equation: Dep_Var = Intercept + c1 * Ind_Var_1 + c2 * Ind_Var_2 + c3 * Ind_Var_3 7) Identify and interpret the adjusted R2 (one paragraph): < Define ?adjusted R2.? < What does the value of the adjusted R2 reveal about the model? < If the adjusted R2 is low, how has the choice of independent variables created this result? 8) Identify and interpret the F test (one paragraph): < Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not? < Interpret the implications of these findings for the model. 9) Identify and interpret the t tests for each of the coefficients (one separate paragraph for each variable, in numerical order): < Are the signs of the coefficients as expected? If not, why not? < For each of the coefficients, interpret the numerical value. < Using the p-value approach, is the null hypothesis for the t test rejected or not rejected for each coefficient? Why or why not? < Interpret the implications of these findings for the variable. < Identify the variable with the greatest significance. 10) Analyze multicollinearity of the independent variables (one paragraph): < Generate the correlation matrix. < Define multicollinearity. < Are any of the independent variables highly correlated with each other? If so, identify the variables and explain why they are correlated.
Paper#13242 | Written in 18-Jul-2015Price : $25