1} Predict Shima's operating costs for a month in which 1,000 trips are made. This time, use the regression equation. Compare the result to the prediction you made using the high- low method. 3) Interpret the R square gure. i. In general, what does the R-square statistic tell management? ii. What is the Rsquare value from this regression? 1What does it tell you about this particular set of data and your confidence in using the resulting equation for making predictions? - Rename the sheet by right-choking on the "Chart 1\" tab at the bottom of the screen and choosing "rename\". Give the shoot an appropriate name. Part 3: Create Scatter to re ion line and Iti -low line ' Number of miles driven as the cost drjr. I Click on the \"Miles Driven\" tab at the bottom of the screen. Copy and paste the monthly operating costs into this sheet so that you can perform a similar analysis based on a different cost driver (miles driven}. Note: Don't calculate the high-low equation for this data set. It Create a new scatter plot, using \"nmnber of miles driven\" as the cost driver. Put it on a new sheet, just like before, and then give the sheet an appropriate name. Give the scatter plot a title, label both axes, comment on possible outliers {or comment that none appear to 2