7) Obtain N= 40B equally spaced values of r by using this matlab command with your own values of A, B and C: N=40*B; X=linspace(0, N-1,N)'/B; Obtain corresponding values of y with: rng (1); Y=A+B*X. ^2+C*log (X+1) +5*B*randn (N, 1); and give m and such that y = mx + c is the least squares line of best fit through these data points.

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Least Squares Regression 1. In MATLAB Write a function to calculate the slope and intercept for a best-fit line using the least-squares linear regression method and to calculate the R2 value. Your inputs should be arrays of X- and Y-values. Your outputs should be the slope and intercept and the R2 value. Section