Linear Regression and Correlation. x y 1 -11.02 2 -10.04 3 -8.86 4 -11.58 5 -2.8 6 -7.72 7 -7.04 8 -10.06 Compute the equation of the linear regression line in the form y = mx + b, where m is the slope and b is the intercept. Use at least 3 decimal places. (Round if necessary) y = x +
Linear Regression and Correlation. x y 1 -11.02 2 -10.04 3 -8.86 4 -11.58 5 -2.8 6 -7.72 7 -7.04 8 -10.06 Compute the equation of the linear regression line in the form y = mx + b, where m is the slope and b is the intercept. Use at least 3 decimal places. (Round if necessary) y = x +
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
Related questions
Question
Linear
| x | y |
|---|---|
| 1 | -11.02 |
| 2 | -10.04 |
| 3 | -8.86 |
| 4 | -11.58 |
| 5 | -2.8 |
| 6 | -7.72 |
| 7 | -7.04 |
| 8 | -10.06 |
Compute the equation of the linear regression line in the form y = mx + b, where m is the slope and b is the intercept.
Use at least 3 decimal places. (Round if necessary)
y = x +
Compute the correlation coeficient for this data set. Use at least 3 decimal places. (Round if necessary)
r=
Compute the P-value (Use HA: slope ≠ 0 for the alternative hypothesis.)
Use at least 3 decimal places. (Round if necessary)
P-value =
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