Consider the following data: x : -7, -5, -1, 0, 2, 5, 6, .y: 15, 12 ,5, 2, 0, -5, -9. Using linear regression find the equation in the form y=mx+b. b) Check your results for the coefficients in the trial function using a built-in function in Python. c) Plot the data points as dots and the best-fit line as a solid line on the same figure.