please show your step thanks!

Problem 2 (1) The data file {70), y} for i = 1,2,..., n is drawn (with noise) from f(x) = Bo + B, sin(x) + B2 cos(x) Can you solve the parameters use the least squares method? Find a closed formula and explain the matrices clearly in your formula (2) The data file {10, y} for i = 1,2,..., n = 10 is drawn (with noise) from the function: 8(x) = Bo + sin(B,x) + cos(B2x) 400 | 2 | 4 | 6 8 10 | 12 | 14 | 16 18 2.85 1.5 0.49 1.57 1.9 0.6 0.38 2.33 1.65 0.3 Use gradient decent(GD) or stochastic gradient decent (SGD) to fit the data to the function g(x) by minimizing the RSS loss RSS = ( g(x)) 28 JO i=1 Turn in any associated computations, your learning rate, and the parameters for (2). Problem 2 (1) The data file {70), y} for i = 1,2,..., n is drawn (with noise) from f(x) = Bo + B, sin(x) + B2 cos(x) Can you solve the parameters use the least squares method? Find a closed formula and explain the matrices clearly in your formula (2) The data file {10, y} for i = 1,2,..., n = 10 is drawn (with noise) from the function: 8(x) = Bo + sin(B,x) + cos(B2x) 400 | 2 | 4 | 6 8 10 | 12 | 14 | 16 18 2.85 1.5 0.49 1.57 1.9 0.6 0.38 2.33 1.65 0.3 Use gradient decent(GD) or stochastic gradient decent (SGD) to fit the data to the function g(x) by minimizing the RSS loss RSS = ( g(x)) 28 JO i=1 Turn in any associated computations, your learning rate, and the parameters for (2)