a$.$ Write a Python program $($Q$1\_$code

A$.$py$)$ to write the above data on to an Excel file, named "Fuel$\_$consumption.xlsx$",$ complete with headers and and indices $($model names$).$

b$.$ In a different Python program $($Q$1\_$code$\_$B$.$py$)$:

i$.$ Read the data from the Excel file you created into the code.

ii$.$ Use a straight$-$line fit $($linear regression$)$ on the whole data, and plot $\frac{O}{?}($Phi$)$ on y$-$axis and mass $M$ on $x-$axis $($your figure should have above data points, as well as the fitted line$)$

iii. Calculate and print the slope of the fitted straight line $($using code only, not hand calculations$)$

c$.$ In yet another Python program $($Q$1\_$code$\_$C$.$py$),$ repeat step $($b$)$ separately for Ford and Honda cars, meaning,

i$.$ Take the data for the first $7$ vehicles in the table $($Ford$),$ work through steps $($b$)($i$-$iii$)$ for that data

ii$.$ Do the same for the last $5$ vehicles in the table $($Honda$)$