U jiuversity PUEBLO, Extended Studies Extended Studies 5. SER 6. OVERALL conclusion/observation of the predictability of the Mini-Project #3 Module 14 dependent variable given the independent variables a) Use 360 gender disc data excel file b) Use the monthly salary column as the dependent variable c) Use years of education and years of experience as two of the independent variables d) Create a third independent variable called "total years education and experience" to represent the total education and experience years e) Create a fourth independent variable called Education/Experience Interaction. Create this variable by multiplying years of experience x years of education f) A fifth independent variable will be the column titled "gender" g) Which of your 5 independent variables has the greatest impact on predicting monthly salary? Which has the least? On what do you base your answers h) Interpret the gender variable coefficient? How much more would we expect a male to earn than a female? i) Run a Two way correlation matrix and comment on and interpret high correlations [>.6| or low correlations | <.2 j run the regression and provide statistic interpretation of the: adj r squared value independent variable p values intercept coefficient f-significancemonthly salary years experience education net worth gender male="1" female="0" hohohook hohohookpop>