Salary $($High $=1,$ Low $=0)$ Performance $($Exceeds $=1,$ Does not exceed $=0)$ Training $($Certified on all machines $=1,$ Not certified on all machines $=0)$

$000$

$100$

$001$

$111$

$101$

$010$

$010$

$110$

$000$

$111$

$000$

$000$

$111$

$111$

$110$

$000$

$010$

$111$

$000$

$000$

$110$

$010$

$101$

$000$

$111$

$111$

$110$

$000$

$000$

$110$

$000$

$000$

Each row has data pertaining to an employee in a manufacturing facility, including their salary tier, their performance $($exceeds expectations or does not exceed expectations$),$ and their training $($whether or not they are certified to operate all machines in their job category$).$ All three columns have been coded $0$ or $1.$ The column labels are self$-$explanatory.

You are new to the role of personnel director for the facility and would like to understand how the salaries are determined. Identify a suitable dependent variable. Use the other two indepea. Report your three sets of results. $($Screenshots or copy and paste will suffice $$ make sure you include all output$)$

b$.$ Interpret the results and comment on any changes in the output for the three situations $($X$1$ alone as independent variable, X$2$ alone as independent variable, and X$1$ and X$2$ as two independent variables in the analysis$).$

c$.$ Are your results using all three variables statistically significant?

d$.$ Are you better off with or without using this data to understand the salaries at the facility?ndent variables one at a time, and th