Data Point 9. 2 1 13 4 8. 6. 6. 8. 7 Use Linear Regression (LR) method to develop a model that predicts the value of (y) in terms of (x). (a) Write down the model, i.e. the line equation Blank 1...

Extracted text: Data Point 9. 2 1 13 4 8. 6. 6. 8. 7 Use Linear Regression (LR) method to develop a model that predicts the value of (y) in terms of (x). (a) Write down the model, i.e. the line equation Blank 1 ((Important: don't leave any space between the components of the line equation, e.g: y=-4.3x+2.8)) (b) The slope of this model is: Blank 2 (c) The line intersects the y-axis at y = Blank 3 (d) Use the model you developed in (a) to predict the value of y when x = 4. Blank 4 (e) When x = 11, what is the type of LR, is it interpolation or extrapolation?: Blank 5 ((Important: Mind your spelling) (f) The MAE for the model you developed from the above data = Blank 6. 496735I37