Answer:
There is sufficient evidence to conclude that there is a linear correlation between the two variables
Explanation:
Given that the data below shows the annual salaries (in millions) and the number of viewers (in millions) of eight television actors and actresses.
x y
92 13
14 4.9
12 5.7
34 1.4
13 103
10 9.8
6 13.3
2 4.3
r -0.092373993
Correlation is -0.09237 a weak correlation negative
![H_0: r=0\\H_a: r\\eq 0](https://img.qammunity.org/2020/formulas/mathematics/college/m98zdbwn7mwo1yaeedcv2lw0serc9amapq.png)
Test statistic t =
![r\sqrt{(n-2)/(1-r^2) } \\=-0.226](https://img.qammunity.org/2020/formulas/mathematics/college/3gg6tzv5gnk1uwqhki8kgu9xgtjnj6f4ub.png)
df -6
p value = 0.828
Accept null hypothesis
There is sufficient evidence to conclude that there is a linear correlation between the two variables