This car wash in town has noticed a high turnover rate and is wanting to know how long they can retain their employees. It's our job as consultants to create a model to explain how some factors might contribute to the turnover rate. We need to run a multiple regression model with respect to cross-sectional analysis based on this information.

Independent Variables: Gender, Hourly_pay, Promotions, Average_hours_biweekly, Job_Function, School, Summer_sales

Dependent Variable: Length_employed_with_company

This professional model should show and explain if there is a positive correlation between any of the independent variables and the dependent variable (how long they've been employed with this company.) Below I will attach the excel file with all 31 employees currently employed. I also created dummy variables for the independent variables with different data so that the regression would run. please show us how to solve in excel, create scatterplots for each variables, and provide explanations for the different correlations if any.