Linear Regression and Correlation. -8.58 4 -3.74 -11 6 -6.16 7 -11.72 8 -20.38 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. y = Compute the correlation coeficient for this data set. Use at least 3 decimal places. r= Compute its corresponding P-value (Use H_A: slope = 0 for the alternative hypothesis.) P-value - At the alpha = 0.01 significance level, is the correlation significant? O No O Yes, significant correlation

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Linear Regression and Correlation.
y
-8.58
4
-3.74
-11
6.
-6.16
7
-11.72
8
-20.38
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.
y =
Compute the correlation coeficient for this data set. Use at least 3 decimal places.
r=
Compute its corresponding P-value (Use H_A: slope = 0 for the alternative hypothesis.)
P-value =
At the alpha = 0.01 significance level, is the correlation significant?
O No
O Yes, significant correlation
Transcribed Image Text:Linear Regression and Correlation. y -8.58 4 -3.74 -11 6. -6.16 7 -11.72 8 -20.38 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. y = Compute the correlation coeficient for this data set. Use at least 3 decimal places. r= Compute its corresponding P-value (Use H_A: slope = 0 for the alternative hypothesis.) P-value = At the alpha = 0.01 significance level, is the correlation significant? O No O Yes, significant correlation
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