Given the table below, answer the following questions. Round all coefficients in the formulas, as well as the correlation coefficients to at least 4 decimal places. 2 30 85 117 162 265 302 y 70 120 145 175 250 300 (a) Use linear regression to find a linear function y = b + ma that fits the data. y = (b) What is the correlation coefficient for the linear regression? r = (c) Use linear regression on the values x and In y to fit a function of the form Iny = b + mac. In y = (d) What is the correlation coefficient for your answer to (c)? r= (e) Convert your answer in (c) to an exponential function y = aekr. y = (f) Compare the correlation coefficients. Graph the data and the two functions to assess which function fits best. Which model fits best