Use MATLAB, thank you

The data:

%Set 1

x1=4:14;

y1=[4.26 5.68 7.24 4.82 6.95 8.81 8.04 8.33 10.84 7.58 9.96];

%Set 2

x2=4:14;

y2=[3.10 4.74 6.13 7.26 8.14 8.77 9.14 9.26 9.13 8.74 8.10];

%Set 3

x3=4:14;

y3=[5.39 5.73 6.08 6.42 6.77 7.11 7.46 7.81 8.15 12.74 8.84];

%Set 4

x4=[8*ones([1 10]) 19]

y4=[6.58 5.76 7.71 8.84 8.47 7.04 5.25 5.56 7.91 6.89 12.5

b. As we'll discuss in class, a reasonable estimate for standard deviation is s, where N 1 N yk 29k - f(x: ). Here m is the number of parameters. Computes for each of these data sets. c. Another measure we'll discuss is the coefficient of determination, typically denoted RP. E T R = 1 We define where E is the usual SSR and T is the total sum of squares N T=(Uk - In n Yk k=1 IM Compute R2 for each of these fits