& gt& gt？ x？ =? [46? 49? 5 1? 52? 54? 56? 57? 58? 59? 60? 6 1? 62? 63? 64? 66? 67? 68? 7 1? 72];

& gt& gt？ y？ =? [40? 50? 55? 63? 72? 70? 77? 73? 90? 93? 96? 88? 99? 1 10? 1 13? 120? 127? 127? 132];

& gt& gt？ Plot(x, y,' o') observation shows that it is approximately linear, so polynomial fitting is used.

& gt& gt？ p？ =? polyfit(x，y， 1)

p？ =

3.6995? -13 1.9833, that is, the fitting result is y = 3.6555x-131.9833.

Draw a fitting curve

& gt& gt？ Keep? exist

& gt& gt？ plot(x，polyval(p，x)，' g ')

& gt& gt？ Grid? exist