taking the same pairs of data for which you calculated the correlation (shown again here below), what is the slope of the regression line, to the nearest tenth? answer in the form of x.x or -x.x (e.g. 0.9 or -1.2), and remember to round your final answer to the nearest tenth! (1,5), (2,7), (3,5), (4,4), (5,4), (6,6), (7,2), (8,2), (9,4

To find the slope of the regression line, you can use the formula:

slope = (N * Σ(xy) - Σx * Σy) / (N * Σ(x^2) - (Σx)^2)

where N is the number of data points, Σ denotes the sum, xy represents the product of x and y values, Σx and Σy represent the sum of x and y values respectively, and (Σx)^2 refers to the square of the sum of x values.

Let's calculate the values step by step:

1. Calculate Σx, Σy, Σxy, and Σ(x^2):

Σx = 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 = 45
Σy = 5 + 7 + 5 + 4 + 4 + 6 + 2 + 2 + 4 = 39
Σxy = (1*5) + (2*7) + (3*5) + (4*4) + (5*4) + (6*6) + (7*2) + (8*2) + (9*4) = 234
Σ(x^2) = (1^2) + (2^2) + (3^2) + (4^2) + (5^2) + (6^2) + (7^2) + (8^2) + (9^2) = 285

2. Calculate the values in the slope formula:

N = 9 (since we have 9 data points)

3. Plug the values into the slope formula:

slope = (N * Σ(xy) - Σx * Σy) / (N * Σ(x^2) - (Σx)^2)
slope = (9 * 234 - 45 * 39) / (9 * 285 - 45^2)
slope = (2106 - 1755) / (2565 - 2025)
slope = 351 / 540
slope = 0.65

Rounding to the nearest tenth, the slope of the regression line is 0.7.

Therefore, the answer is 0.7.