Question

Ad (x) Sales (y) 1 8 2 23 3 30 4 42 The data above show...

Ad (x)

Sales (y)

1

8

2

23

3

30

4

42

The data above show the impact of advertisement spending towards a product’s sales. If we model the relationship as linear: y = b1* x + b0 +e

  1. Please use OLS formula (in the gradient Descent Linear Rgression.pptx file slides 5) to calculate b1 and b0
  2. Use the OLS model to predict the Sales. Calculate MAE and RMSE.
  3. Please use Gradient Descent to calculate b1 and b0 again manually
    1. You just need do two iterations
    2. Let the initial start points as b1 = 1 and b0 = 1
    3. Set the learning rate as 0.01
    4. Show you work step by step

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