Box-Cox transformation The accompanying observations are precipitation values during March over a 30-year period in College Station. 77 1.20 1.74 .47 .81 1.43 1.20 3.37 1.95 2.20 3.00 1.62 3.09 1.31 1.51 .32 2.10 .59 .52 .81 2.81 2.48 1.87 .96 1.18 1.89 1.35 .90 4.75 2.05 The data is given in rain . csv. a. Construct and interpret a normal QQ plot for this data set. b. Calculate the square root of each value and then construct a normal QQ plot based on this transformed data. Does it seem plausible that the square root of precipitation is normally distributed? c. Repeat part (a) after transforming by cube roots. d. Use both boxcox () and powerTransform() functions to find a suitable transformation and examine the normality of the transformed variables