Question: Question 28 6 Points Consider the following dataset Data Point 1 2 3 4 5 6 7 8 9 6 1 4 3 8 5

 Question 28 6 Points Consider the following dataset Data Point 1
2 3 4 5 6 7 8 9 6 1 4 3

Question 28 6 Points Consider the following dataset Data Point 1 2 3 4 5 6 7 8 9 6 1 4 3 8 5 9 7 4 9 6 7 3 5 1 3 7 2 Use Linear Regression (LR) method to develop a model that predicts the value of (y) in terms of (x) (5) Write down the model i.e. the line equation Blank 1 [{Important don't leave any space between the components of the line equation, egy 43x+2.8) (b) The slope of this modelis: Blank 2 (The line intersects the y-axis aty - Blank 3 (d) Use the model you developed in (a) to predict the value of y when x = 4. Blank 4 (e) Whenx = 11. what is the type of LR, is it interpolation or extrapolation. Blank 5 (Important: Mind your spelling) (The MAE for the model you developed from the above data - Blank 6. Blank 1 Add your answer Blank 2 Add your answer Blank 3 Add your answer Blank 4 Add your answer Blank 5 Add your answer Blank 6 Add your answer Question 28 6 Points Consider the following dataset Data Point 1 2 3 4 5 6 7 8 9 6 1 4 3 8 5 9 7 4 9 6 7 3 5 1 3 7 2 Use Linear Regression (LR) method to develop a model that predicts the value of (y) in terms of (x) (5) Write down the model i.e. the line equation Blank 1 [{Important don't leave any space between the components of the line equation, egy 43x+2.8) (b) The slope of this modelis: Blank 2 (The line intersects the y-axis aty - Blank 3 (d) Use the model you developed in (a) to predict the value of y when x = 4. Blank 4 (e) Whenx = 11. what is the type of LR, is it interpolation or extrapolation. Blank 5 (Important: Mind your spelling) (The MAE for the model you developed from the above data - Blank 6. Blank 1 Add your answer Blank 2 Add your answer Blank 3 Add your answer Blank 4 Add your answer Blank 5 Add your answer Blank 6 Add your

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