The Pastas R Us charts file contains a set of scatter plots and regression equations that analyze the correlations between several different variables. The first pair of variables we will examine is Sales/Sq.Ft. ($) and Bach. Degrees (%) which is represented by a scatter plot. From the scatter plot, we can see that there is a positive correlation between Sales/Sq.Ft. ($) and Bach. Degrees (%). This means that as the number of bachelor degrees increase, the Sales/Sq.Ft. ($) also increases. The regression equation for this pair of variables is y = 0.01x 19.32. This means that for every 1% increase in the number of bachelor degrees, there is a 0.01$ increase in the Sales/Sq.Ft. ($). The second pair of variables we will examine is Median Income ($) and Sales/Sq.Ft. ($) which is represented by a scatter plot. From the scatter plot, we can see that there is a positive correlation between Median Income ($) and Sales/Sq.Ft. ($). This means that as the median income increases, the Sales/Sq.Ft. ($) also increases. The regression equation for this pair of variables is y = 0.0022x 25.98. This means that for every 1$ increase in the median income, there is a 0.0022$ increase in