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 +

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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 + 

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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