Problem 2: The Davis data set in the car package contains recorded weight (kg), recorded height (cm), reported weight (kg), reported height (cm), and sex assigned at birth for each subject of a study. (a) Subset the recorded weight and reported weight columns and save them in a data frame named weight .metric. Print the rst few rows. (b) Convert the weights in weight.metric to pounds (1 kg = 2.2 lbs) anI name the resulting data frame weight. imp. Print the rst few rows. (c) Subset the recorded height and reported height columns and save them in a data frame named height .metric. Print the rst few rows. (d) Convert the heights in height.metric to inches rounded to one decimal (2.54 cm = 1 inch) and name the resulting data frame height. imp. Print the rst few rows. (e) Combine the sex assigned at birth information with all of the imperial weight and height information in a data frame named Davis . imp with column names sex, rec .weight, rep.weight, rec.height, and rep.height. Print the rst few rows. (f) Determine the number of missing values (NA) in each column of the Davis. imp data. (g) How many rows of the Davis . imp data contain a missing value. Note: Do not make assumptions. (h) Subset the vector containing sex assigned at birth of the subjects with a missing value in any column