Consider the wagepan dataset from the wooldridge package in R (you can load this dataset using data(wagepan) after loading the wooldridge package)

Consider the wagepan dataset from the wooldridge package in R (you can load this dataset using data(wagepan) after loading the wooldridge package). How many missing observations of the variable hours appear in the data? Consider the wagepan dataset from the wooldridge package in R(you can load this dataset using data(wagepan) after loading the wooldridge package). Calculate the mean of the natural log of the variable hours. Round your answer to the nearest 2 decimal places.

Consider the lawsch85 dataset from the wooldridge package in R (you can load this dataset using data(lawsch85) after loading the wooldridge package). Using R, estimate the following equation: lsalary = Bo + B?LSAT + B2GPA+ +B3lcost + ß4llibvol + u What is the estimated se (B2)? ? Round your answer to two decimal places. Consider the lawsch85 dataset from the wooldridge package in R (you can load this dataset using data(lawsch85) after loading the wooldridge package). Using R, estimate the following equation: lsalary = Bo + B?LSAT + B2GPA+ +B3lcost + Bullibvol + u Using a 1% level of significance, test the hypothesis: Ho : B1 = B3 Hi : B1 + B3 What is the F statistic associated with this test? Round your answer to two decimal places.