In python, The dataset fuel$\_$consumption.csv contains three columns: Car $($car identifier$),$ Weight $($in kilograms$),$ and Fuel$\_$Consumption $($in miles per gallon$).$ Each row represents a different car in the dataset.

a$.)$ Load the dataset and inspect the first five rows. b$.)$ Create a scatterplot of fuel consumption vs$.$ weight. c$.)\_\_$ Use regression to find the equation for the line of best fit. Print out the equation of the line. d$.)$ Extrapolate! Find what would be the fuel consumption of a $1000$ kg and a $3000$ kg car. Do you think the results are realistic? Investigate both cases. e$.)$ Plot the data $($scatter$)$ and the best fitted line on the same figure. f$.)$ find the regression coefficient r and r$^2.$ g$.)$ Find the mean and standard deviation of the fuel consumption.