Question: Multiple regression is based on a number of essential assumptions. Describe what each of the following refers to, what problem is created when that assumption is broken, and how you would go about checking to ensure that assumption is met: a) multicollinearity; b) independent errors; c) homoscedasticity; and d) linearity.