Answer:
A- There is sufficient evidence to support the claim of a linear correlation between the two variables
Step-by-step explanation:
x y
10 9.14
8 8.15
13 8.75
9 8.77
11 9.25
14 8.09
6 6.13
4 3.09
12 9.14
7 7.25
5 4.73
r 0.81602411
Thus correlation coefficient is 0.816 a strong positive correlation.
[tex]H_0: r=0\\H_a: r \neq 0[/tex]
(two tailed test)
Test statistic t = [tex]\frac{r\sqrt{n-2} }{\sqrt{1-r^2} } \\=7.327[/tex]
p value <0.05 our significant level
Hence reject H0, there is correlation significant between the two variables.
A- There is sufficient evidence to support the claim of a linear correlation between the two variables
Scatter plot is attached.