Create a correlation matrix for the variables in the Salaries data set. Discuss which explanatory variables should not be used simultaneously, and which look most promising to explain salaries.
Answer to relevant QuestionsCreate all other possible regression models for the Salaries data. The models will be based on the following explanatory variables: a. Years of postsecondary education alone b. Years of experience alone c. Age alone d. Age ...A production manager has collected data on the number of units produced and the number of employees at work, for the day shift and the night shift. Is shift a significant explanatory variable for the number of units ...Examine the residual plots produced by Excel for the Salaries multiple regression model that you built for Develop Your Skills 14.2, Exercise 5, which included years of postsecondary education and years of experience as ...Think about your analysis in Exercise 14. Is the year of the car a quantitative variable? Create an indicator variable for the year of the car, and rebuild the model. Describe the models, and choose the best one. In ...Given your answers to Exercises 2 and 3, what concerns do you have about the model? A correlation matrix for the values in the model is shown below in Exhibit 14.33 below.
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