Build a linear model by using Y as the outcome variable and X1 and X2 as the predicting variables. Make sure to write down the equation of the model. Interpret the model, including how significant each of the predictors is related to the outcome, interpreting the model parameter estimates (using one-unit increases). Evaluate the linearity, homoscedasticity, and normality assumption of the model.