Linear Regression and Correlation. x y 2 -0.48 3 1.98 4 -5.16 5 6.6 6 -0.44 7 8.82 8 13.08 9 1.94 10 12.9 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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Linear Regression and Correlation.

x y
2 -0.48
3 1.98
4 -5.16
5 6.6
6 -0.44
7 8.82
8 13.08
9 1.94
10 12.9


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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