This is a Live Coding Problem
Sally owns her own trucking company
Every time one of her drivers goes on job, they log how many miles they drove and how many gallons of gas were consumed
Here is a list of the miles driven per job
10., 20., 30., 40., 50., 60., 70., 80., 90., 100., 110.,
120., 130., 140., 150., 160., 170., 180., 190., 200., 210., 220.,
230., 240., 250., 260., 270., 280., 290., 300., 310., 320., 330.,
340., 350., 360., 370., 380., 390., 400., 410., 420., 430., 440.,
450., 460., 470., 480., 490., 500.
Here is a list of the amount of gas, in gallons, consumed during each job
5.1 , 5.54, 5.09, 4.67, 2.13, 4.51, 6.47, 5.09, 10.19,
6.66, 9.42, 9.7 , 5.39, 11.76, 18.21, 18.1 , 20.92, 15.83,
15.68, 10.28, 8.25, 10.81, 23.83, 16.74, 17.2 , 20.36, 23.85,
18.3 , 19.83, 22.38, 37.61, 26.34, 24.06, 24.46, 27.72, 26.9 ,
31.02, 32.53, 21.48, 34.3 , 28.74, 37.72, 31.9 , 33.35, 36.62,
27.78, 41.13, 38.7 , 34.89, 34.36
Sally's drivers have never exceeded 500 miles on a single job
However, she would like you to figure out how many gallons of gas would be consumed if a driver took a 750 mile trip
Gas is $3.45 per gallon
How much money would it cost one of Sally's drivers to drive 750 miles
What are the values for the Beta coefficients, and how would you explan them to a nontechnical person
Plot the independent and dependent data on a scatter plot
Draw a line of best fit through the data
What is the R-squared value, is it good
Basic Problem Solving
Linear Regression
Linear Algebra
Python
Numpy
Matplotlib
