A yard maintenance firm is trying to predict the cost of cleaning up the parking lots of shopping malls where the firm has a maintenance contract. The firm has gathered information on maintenance costs (in thousands of dollars), the number of stores in the mall (Stores), the number of square metres in the parking lot (Area), and the distance of the mall from the firm's maintenance depot (Distance). A regression printout from Excel appears below. Excel Printout SUMMARY OUTPUT Regression Statistics Multiple R 0.8574 R Square 0.7352 Adjusted R Square 0.6822 Standard Error 1.3276 Observations 19 ANOVA df SS MS F Significance F Regression 3 73.39 24.46 13.88 0.000133378 Residual 15 26.44 1.76 Total 18 99.83 Regression Output Variables Coefficients Standard Error t Stat P-value Intercept 0.8356 2. 1712 0.38 0.7091 Stores 0.4145 0.1538 2.70 00166 Area -0.0032 0.0010 -0.32 0.7562 Distance 0.1645 0.0910 1.81 0.0907 What proportion of the change in the dependent variable is explained by changes in the independent variables? Do not convert to percent or use percent sign. Keep to 4 decimal places