Please use Matlab Code. Thank you

For this part, only use solarday1 data. Use polyfit % to generate two separate models of the data. Both should be 1st order % (linear fits). In this case, we are going to model the solar data with % two separate lines - one going from the start of power generation up to % the peak point, and the other going from the peak point and running down % back to the last power point. % % Important: doing this will require you to create two subset vectors of active % window data, one corresponding to the (non-zero start) to (peak) data and the % other from the (peak) to the (non-zero finish) active window data. I % suggest you re-zero out time at the start of the activewindow. % % % Pull out the coefficients from polyfit in order to then plot the fits on % top of the raw data. This plot should contain raw data (using markers) % and two fits (lines). Create a legend in your plot. Title the plot and % names axes reasonably.

Thank you in an advance.

solarday1-10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0,04 0.00 0.092 0.12 0.124 0.14 0.152 0.16# 0.452 1.244 2.196 2.676 2.824 2.964 3.108 3.208 3.296 3,4 3.455 3.54 2.828 3.72 3.716 3.728 3.604 3.628 3.392 3.444 1.916 2.628 2.944 1.08ee 1.952 1.628 2.288 2.912 1.532 1.080 1.9 1.912 1.76 1.452 1.184 0.936 0.584 0.304 0.196 0.092 0.04 0 0 0 0 0 0 00 0 0 00 0 0000 0] solarday2 [0 0 0 0 0 0 0 00 0 0000000 0 000 0 0 00 0 000 0.008 0.064 0.132 0.236 0.304 0.336 0.372 0.436 0.52 0.628 0.8 0.8 0.76 0.768 0.792 0.784 0.84 0.852 0.86 0.956 0.952 0.952 0.888 0.736 0.772 0.82 0.772 0.82 0.776 0.668 0.6 0.632 0.552 0.472 0.404 0.368 0.388 0.376 0.396 0.288 0.196 0.116 0.052 0.044 0.048 0.028 0 0 0 00 0 0 0 00 0 0 0 00 0 00 0 0 01 501armonth 1- [24.84 26.312 25.906 23.933 5.806 26.112 14.859 14.395 25.596 25.095 24.192 19.564 15.604 23.682 20.763 12.482 15.157 22.369 9.581 20.855 23.066 17.441 14.682 22.507 24.048 23.271 22.34 25.463 21.017 16.2621: time interval 0.25; units of hrs, 0.25 hours 15 minutes