Data ... Point 4. 1 6. 3 4 4 8. 5 69 1 8. 7 3. 2 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
Data ... Point 4. 1 6. 3 4 4 8. 5 69 1 8. 7 3. 2 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
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.3: Lines
Problem 76E
Related questions
Question
![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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd40583cb-6c4e-41d9-914a-e9078028ad72%2F19992187-8a81-4a16-8c26-86516f1f167f%2Frvwcqd7_processed.jpeg&w=3840&q=75)
Transcribed Image 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
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