Collinearity and correlation are two different statistical concepts. Correlation indicates the direction of the variables, whereas collinearity determines the linear association between two predictors. This week, you will analyze these two concepts. In addition, you will find that, in some cases, a linear relationship may not be the appropriate model to build in a business situation. Instead, a nonlinear polynomial equation, such as a quadratic model, is needed to find the best fit for the problem. Thus, for the week 10 activity, you will use the background knowledge from linear regression and Regression Analysis to construct a second-degree polynomial. Make sure to follow these steps