1)
a) Linear Regression and Correlation.
x
y
1
2.51
2
-2.58
3
6.33
4
0.64
5
9.05
6
2.86
7
7.67
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
b) Linear Regression and Correlation.
x
y
2
-3.26
3
7.96
4
0.08
5
-6.3
6
2.62
7
2.34
8
3.56
9
-8.62
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 = 0.01 significance level, is the correlation
significant?
No
Yes, significant correlation