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s2008m [1.1K]
3 years ago
15

A sample of 6 head widths of seals (in cm) and the corresponding weights of the seals (in kg) were recorded. Given a linear corr

elation coefficient of 0.948, find the corresponding critical values, assuming a 0.01 significance level. Is there sufficient evidence to conclude that there is a linear correlation?
Mathematics
1 answer:
Nataly_w [17]3 years ago
4 0

Answer:

We conclude that there is not a linear correlation.

Step-by-step explanation:

We are given that a sample of 6 head widths of seals (in cm) and the corresponding weights of the seals (in kg) was recorded.

Given a linear correlation coefficient of 0.948.

Let ρ = <u><em>population correlation coefficient.</em></u>

So, Null Hypothesis, H_0 : ρ = 0     {means that there is a linear correlation}

Alternate Hypothesis, H_A : ρ \neq 0      {means that there is not a linear correlation}

The test statistics that would be used here <u>One-sample t-test statistics</u> for testing population correlation coefficient;

                            T.S. =  \frac{r \times \sqrt{n-2} }{\sqrt{1 -r^{2} } }  ~  t_n_-_2

where, r = sample correlation coefficient = 0.948

           n = sample of head widths of seals = 6

So, <u><em>the test statistics</em></u>  =  \frac{0.948 \times \sqrt{6-2} }{\sqrt{1 -0.948^{2} } }  ~ t_4 

                                     =  5.957

The value of t-test statistics is 5.957.

Now at 0.01 level of significance, the t table gives a critical value of 4.604 at 4 degrees of freedom for a two-tailed test.

Since our test statistics is more than the critical value of t as 5.957 > 4.604, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region.

Therefore, we conclude that there is not a linear correlation.

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