If the following data were linearized using logarithms what would be the equations of the regression line? Round the slope and y-intercept of the regression line to three places.
X = (1,2,3,4,5)
Y= (13,55,349,2407,16,813)
A. log(y) = -0.786 + 0.241
B. log(y) = 0.786 + 0.241
C. log(y) = 0.241x + 0.786
D. log(y) = -0.241x + 0.786

Here are the 30 best lifetime baseball batting averages of all time, arranged in order from lowest to highest: 0.319, 0.329, 0.330, 0.331, 0.331, 0.333, 0.333, 0.333, 0.334, 0.334, 0.334, 0.336, 0.337, 0.338, 0.338, 0.338, 0.340, 0.340, 0.341, 0.341, 0.342, 0.342, 0.342, 0.344, 0.344, 0.345, 0.346, 0.349, 0.358, 0.366 if you were to build a histogram of these data, which of the following would be the best choice of classes?