Problem 3: Download the uspopulation.mat file from Canvas into the same folder as your code and load the data into your Matlab workspace using load('uspopulation'). This native Matlab data file contains population of the U.S. recorded by the U.S. Census from 1790-1990 in 10 year increments (loading the mat file creates a Matlab variable pop and years). Plot a scatterplot of the US population over these years using red circles. Next, use Matlab to find a quadratic polynomial function that fits the data using the polyfit function. Then, evaluate the resulting polynomial using the polyval function and plot the predicted polynomial fit curve on the same plot using a solid black line to see how the fit curve matches the U.S. Population Quadratic Model data. Add a title, x and y label, and a legend to the plot using Matlab commands. Increase the overall font size to 12. Cars Data Model 2 15 U.S. Population Finally, use the polyval function to evaluate the predicted population in 2020. If the actual US population in 2020 was 331 million, find and display the % difference between your predicted value and the actual value (answer should be 0.336%). Use the same technique to predict the estimated US population in 2050 and output your prediction using fprintf. OS 0 1750 1800 1850 1900 1950 2000 Year function importfile (fileToReadl) IMPORTFILE (FILETOREAD1) Imports data from the specified file FILETOREADI: file to read Auto-generated by MATLAB on 08-Feb-2021 14:20:59 * Import the file newDatal = load(!-mat', fileToReadi); Create new variables in the base workspace from those fields. vars fieldnames (newDatal); for 1 = 1:length (vars) assignin('base', vars(i), newDatal. (vars(i))); end