$($A$)$ All variables are numerical type variables. Create a linear regression model using Input $=$ Job Satisfaction; Output $=$ Job Performance

$($b$)$ All variables are numerical type variables. Create a linear regression model using Input $=$ Job Satisfaction and Social Desirability; Output $=$ Job Performance. Interpret the p$-$value and whether the contribution of the variables is significant. Interpret the coefficients of the regression model.

$($c$)$ Which of the two models presented in part $($a$)$ and $($b$)$ is better? Use the evaluation criteria utilizing the last ten records and MAD to be part of the testing set.

Column $1$ Job Satisfaction

Clolumn $2$ Social Desirabillity

Column $3$ Job Performance

$756$

$554$

$755$

$645$

$144$

$353$

$334$

$444$

$745$

$453$

$333$

$564$

$141$

$656$

$223$

$235$

$634$

$243$

$634$

$533$

$665$

$657$

$634$

$344$

$777$

$645$

$544$

$253$

$744$

$133$

$566$

$343$

$465$

$141$

$634$

$154$

$154$

$253$

$131$

$544$

$364$

$656$

$546$

$455$

$757$

$664$

$134$

$232$

$735$

$533$

$783$

$422$

$647$