Project 8
Analyze the implications of the findings from your Part II Final Project assignment.
When constructing a multiple regression model, we must ask the question “Does a linear relationship exist between the dependent variable and the independent variables. Based on the multiple regression model of the Virginia hospitals data, all of the independent variables are not significant predictors of the dependent variable. This is evidenced by the varying p-values shown in the regression analysis. The null hypothesis for each independent variable states that there is no linear relationship and the corresponding coefficient for the variable is 0. On the other hand, the alternate hypothesis states the opposite of the null hypothesis indicating the coefficient of the independent variable is a non-zero value. If the p-value for a particular independent variable is smaller than 0.05, we have evidence to reject the null hypothesis and conclude that there is a linear relationship between the dependent variable and the specific independent variable. In addition, the independent variable would be a good conWhen constructing a multiple regression model, we must
According to the Virginia hospitals data and the multiple regression analysis performed, staffed beds, medicare days, and RN FTEs are the only independent variables with p-values smaller than 0.05. As a result, these three variables are significant contributors to the dependent variable of total operating expense. Although I am not convinced this is totally accurate because a mistake may have been made, the results shown in the spreadsheet indicate the other variables should be removed, and a new regression analysis should be performed
Based on these findings, explain what actions you might take as a health care professional working in a hospital setting.
Based on these findings, a health care professional working in a hospital setting might choose to use the multiple regression model to predict a hospital’s total
When constructing a multiple regression model, we must ask the question “Does a linear relationship exist between the dependent variable and the independent variables. Based on the multiple regression model of the Virginia hospitals data, all of the independent variables are not significant predictors of the dependent variable. This is evidenced by the varying p-values shown in the regression analysis. The null hypothesis for each independent variable states that there is no linear relationship and the corresponding coefficient for the variable is 0. On the other hand, the alternate hypothesis states the opposite of the null hypothesis indicating the coefficient of the independent variable is a non-zero value. If the p-value for a particular independent variable is smaller than 0.05, we have evidence to reject the null hypothesis and conclude that there is a linear relationship between the dependent variable and the specific independent variable. In addition, the independent variable would be a good conWhen constructing a multiple regression model, we must
According to the Virginia hospitals data and the multiple regression analysis performed, staffed beds, medicare days, and RN FTEs are the only independent variables with p-values smaller than 0.05. As a result, these three variables are significant contributors to the dependent variable of total operating expense. Although I am not convinced this is totally accurate because a mistake may have been made, the results shown in the spreadsheet indicate the other variables should be removed, and a new regression analysis should be performed
Based on these findings, explain what actions you might take as a health care professional working in a hospital setting.
Based on these findings, a health care professional working in a hospital setting might choose to use the multiple regression model to predict a hospital’s total