Can someone please answer this question using MATLAB language and please explain your answer as well as related concepts? I need help studying for a test. Thanks!

3. Fig. 1 plots the monthly temperatures of the city of Tucson for two years. The plot was generated using the 24 x 1 (column) arrays shown below begin code Xvec (1:24; Yvec [18.921.123.327.8 32.2 37.2 36.134.4 29.4 23.3 18.9... 18.5 19.7 24.6 27 33.5 36.8 37.6 36.5 33.8 29 23.6 20]; end code 40 35 30 25 20 15 0 2 4 6 8 10 12 14 16 18 20 22 24 x- months Figure 1: Tucson Temperatures for two years Suppose we want to fit the data to the following equation (with 3 basis functions) using least squares regression It is believed that the general trend of the data, apparent from Fig 1 is genuine. Based on this belief, which of the proposed basis functions, given as anonymous functions in the 1 x 6 cell array BF (shown below) would you consider necessary in order to obtain a good fit? begin code BF. [ {?(x) ones (size(x)) } , { @(x) x } , { @(x) exp(x) } , { @(x) x .* x } { @(x) cos (pi/6*x) } { @(x) S?n(p1/6#x) } ]; , , end code (a) Select the three function handles that you would use to perform the regression by specifying the indexes below ANS: BFBF B (Problem continues on the next page) page 4/10