Linear Regression and Correlation. x y 1 -2.52 2 -4.04 3 -1.86 4 6.82 5 5.7 6 -5.62 7 -0.44 8 1.64 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 =  At the alpha = 0.05 significance level, is the correlation significant? Yes, significant correlation No

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Linear Regression and Correlation.

x y
1 -2.52
2 -4.04
3 -1.86
4 6.82
5 5.7
6 -5.62
7 -0.44
8 1.64


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 = 

At the alpha = 0.05 significance level, is the correlation significant?

  • Yes, significant correlation
  • No
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