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Testing for a Linear Correlation. In Exercises 13鈥28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of A = 0.05. Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.)

Manatees Listed below are numbers of registered pleasure boats in Florida (tens of thousands) and the numbers of manatee fatalities from encounters with boats in Florida for each of several recent years. The values are from Data Set 10 鈥淢anatee Deaths鈥 in Appendix B. Is there sufficient evidence to conclude that there is a linear correlation between numbers of registered pleasure boats and numbers of manatee boat fatalities?

Pleasure Boats

99

99

97

95

90

90

87

90

90

Manatee Fatalities

92

73

90

97

83

88

81

73

68

Short Answer

Expert verified

The scatterplot is shown below:

The value of the correlation coefficient is 0.341.

The p-value is 0.369.

There is not enough evidence to support the claim that there existsa linear correlation betweenthe counts of pleasure boats and manatee fatalities.

Step by step solution

01

Given information

The data is listed for the number of registered pleasure boats and manatee fatalities in Florida.

Pleasure Boats

Manatee Fatalities

99

92

99

73

97

90

95

97

90

83

90

88

87

81

90

73

90

68

02

Sketch a scatterplot

A scatterplot determines the pattern in any paired set of data.

Steps to sketch a scatterplot:

  1. Mark the two variables as pleasure boats and manatee fatalities on x and y-axis, respectively.
  2. Mark the observations in a paired form on the graph.

The scatterplotis shown below.

03

Compute the measure of the correlation coefficient

The correlation coefficient formula is

\(r = \frac{{n\sum {xy} - \left( {\sum x } \right)\left( {\sum y } \right)}}{{\sqrt {n\left( {\sum {{x^2}} } \right) - {{\left( {\sum x } \right)}^2}} \sqrt {n\left( {\sum {{y^2}} } \right) - {{\left( {\sum y } \right)}^2}} }}\).

Let variable x be pleasure boats counts and y be the count of manatee fatalities.

The valuesare listedin the table below:

x

y

\({x^2}\)

\({y^2}\)

\(xy\)

99

92

9801

8464

9108

99

73

9801

5329

7227

97

90

9409

8100

8730

95

97

9025

9409

9215

90

83

8100

6889

7470

90

88

8100

7744

7920

87

81

7569

6561

7047

90

73

8100

5329

6570

90

68

8100

4624

6120

\(\sum x = 837\)

\(\sum y = 745\)

\(\sum {{x^2}} = 78005\)

\(\sum {{y^2} = } \;62449\)

\(\sum {xy\; = \;} 69407\)

Substitute the values in the formula:

\(\begin{aligned} r &= \frac{{9\left( {69407} \right) - \left( {837} \right)\left( {745} \right)}}{{\sqrt {9\left( {78005} \right) - {{\left( {837} \right)}^2}} \sqrt {9\left( {62449} \right) - {{\left( {745} \right)}^2}} }}\\ &= 0.341\end{aligned}\)

Thus, the correlation coefficient is 0.341.

04

Step 4:Conduct a hypothesis test for correlation

Definemeasure\(\rho \)as the true correlation measure for the two variables.

For testing the claim, form the hypotheses:

\(\begin{array}{l}{H_o}:\rho = 0\\{H_a}:\rho \ne 0\end{array}\)

The samplesize is9(n).

The test statistic is computed as follows:

\(\begin{aligned} t &= \frac{r}{{\sqrt {\frac{{1 - {r^2}}}{{n - 2}}} }}\\ &= \frac{{0.341}}{{\sqrt {\frac{{1 - {{\left( {0.341} \right)}^2}}}{{9 - 2}}} }}\\ &= 0.9597\\ &\approx 0.960\end{aligned}\)

Thus, the test statistic is 0.960.

The degree of freedom is calculated below:

\(\begin{aligned} df &= n - 2\\ &= 9 - 2\\ &= 7\end{aligned}\)

The p-value is computed from the t-distribution table.

\(\begin{aligned} p{\rm{ - value}} &= 2P\left( {T > 0.960} \right)\\ &= 0.369\end{aligned}\)

Thus, the p-value is 0.369.

Since thep-value is greater than 0.05, the null hypothesis fails to be rejected.

Therefore, there is not sufficient evidence to conclude the existence of a linear correlation between the counts of pleasure boats and manatee boat fatalities.

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