9.  Complete the table. Fill in all columns and calculate sums in the last row.

10.  Use results from #9 and calculate Pearson Coefficient of Linear Correlation.

11.  Use results from #9 and calculate slope of Linear Regression Line.

12.  Use results from #9 and calculate y-intercept of Linear Regression Line.

Assigned any numbers for x and y in the first two columns.x y x2 y2 xy 2 4 4 16 8 4 6 16 36 24 6 7 36 49 42 7 7 49 49 49 8 7 64 49 56 9 3 81 9 27 Σx = 36 Σy = 34 Σx2 = 250 Σy2 = 208 Σ(xy) =…