The coefficient of determination (R-squared) is related to the linear correlation coefficient (r) as follows:
R-squared = r^2
Therefore, we can find the linear correlation coefficient (r) by taking the square root of the coefficient of determination (R-squared):
r = sqrt(R-squared) = sqrt(0.79) = 0.89
Now, we need to determine the sign of the linear correlation coefficient (r). Since the slope of the regression line is negative, we know that the data has a negative correlation. Therefore, the linear correlation coefficient (r) is negative:
r = -0.89
Therefore, the linear correlation coefficient of the data is -0.89.