The following data points can be modeled as a linear equation: -11 -7 -3 -2 1. 4. 6. -2 2 3 9 The points were plotted on the graph below (In blue) by a student who used a ruler to draw an approximate best-fit "linear regression" line (In red). 11 10 Select two coordinate points from the line (suitable for calculation of slope), and write them down on a piece of paper. Use the two coordinate points to calculate the slope of the linear regression line:

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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The following data points can be modeled as a linear equation:
-11
-7
-3
-2
4
-2
2
5
7
The points were plotted on the graph below (in blue) by a student who used a ruler to
draw an approximate best-fit "linear regression" line (in red).
11
10
2
-11 -10
10 11
Select two coordinate points from the line (suitable for calculation of slope), and write
them down on a piece of paper.
Use the two coordinate points to calculate the slope of the linear regression line:
Select the equation of the regression line below
y = .592x + 5.71
y = 5.71 - .429x
O y = .429x + 5.71
Oy = 5.71x + .429
MacBook Pro
Transcribed Image Text:The following data points can be modeled as a linear equation: -11 -7 -3 -2 4 -2 2 5 7 The points were plotted on the graph below (in blue) by a student who used a ruler to draw an approximate best-fit "linear regression" line (in red). 11 10 2 -11 -10 10 11 Select two coordinate points from the line (suitable for calculation of slope), and write them down on a piece of paper. Use the two coordinate points to calculate the slope of the linear regression line: Select the equation of the regression line below y = .592x + 5.71 y = 5.71 - .429x O y = .429x + 5.71 Oy = 5.71x + .429 MacBook Pro
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