**Step 4: Calculating Slope and Intercept**This table is designed to assist in organizing values for the calculation of the slope and intercept of a dataset. Reference the previously determined mean values: \( \bar{x} = 57 \) and \( \bar{y} = 13.442857 \). The values are calculated and rounded to six decimal places.| \( x_i \) | \( y_i \) | \( x_i - \bar{x} \) | \( y_i - \bar{y} \) | \( (x_i - \bar{x})(y_i - \bar{y}) \) | \( (x_i - \bar{x})^2 \) ||-----------|----------|---------------------|--------------------|--------------------------------------|------------------------|| 22 | 9.6 | -35 | -3.842857 | 134.499995 | 1225 || 27 | 9.6 | -30 | -3.842857 | 115.285710 | 900 || 32 | 10.1 | -25 | -3.342857 | 83.571425 | 625 || 48 | 11.1 | -9 | -2.342857 | 21.085713 | 81 || 65 | 12.5 | 8 | -0.942857 | -7.542856 | 64 || 85 | 16.7 | 28 | 3.257143 | 91.200004 | 784 || 120 | 24.5 | 63 | 11.057143 | 696.600009 | 3969 |**Totals:**- \(\sum (x_i - \bar{x})(y_i - \bar{y})\): Sum of the products of differences between each \(x_i\) and \(y_i\) from their respective means. - \(\sum (x_i - \bar{x})^2\): Sum of the squares of the differences of each \(x_i\) from the mean of \(x\).The table helps in the computation of the slope \(m\) of

Name: **Step 4: Calculating Slope and Intercept**This table is designed to
Uploaded: 2024-03-20T06:47:08.000Z
Channel: Bartleby
Description: **Step 4: Calculating Slope and Intercept**This table is designed to assist in organizing values for the calculation of the slope and intercept of a dataset. Reference the previously determined mean values: \( \bar{x} = 57 \) and \( \bar{y} = 13.442