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The table, from the Statistical Abstract of the United States, shows amusement park attendance at the top 15 amusement parks for given years.

Year (x) Amusement Park Attendance at Top 15 Amusement Parks (in thousands) (y)
2009 107,348
2010 109,321
2011 112,509
2012 116,420
2013 119,951


Find the coefficient of correlation. Round to the nearest thousandth.

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Final answer:

The coefficient of correlation measures the strength and direction of the linear relationship between two variables. Using the given table of amusement park attendance, we can calculate the coefficient of correlation by finding the mean of the x and y values, calculating the deviations, and then applying the formula for correlation. The rounded coefficient of correlation is approximately 0.059.

Step-by-step explanation:

To find the coefficient of correlation, we need to use the given table of amusement park attendance. The coefficient of correlation, also known as the Pearson correlation coefficient, measures the strength and direction of the linear relationship between two variables.

Step 1: Calculate the mean of the x and y values.

Mean of x (years) = (2009 + 2010 + 2011 + 2012 + 2013) / 5 = 1110 / 5 = 222

Mean of y (attendance) = (107,348 + 109,321 + 112,509 + 116,420 + 119,951) / 5 = 565,549 / 5 = 113,110

Step 2: Calculate the deviation of each x and y value from their respective means.

x deviation = x value - mean of x

y deviation = y value - mean of y

Step 3: Calculate the product of the x and y deviations for each pair of values.

Step 4: Calculate the sum of the x deviations, y deviations, and the product of the x and y deviations.

Step 5: Calculate the correlation coefficient using the formula:

correlation = (sum of the x and y deviations) / sqrt((sum of the squared x deviations) * (sum of the squared y deviations))

Plugging in the values from the table:

x deviations: 2009 - 2009 = 0, 2010 - 2009 = 1, 2011 - 2009 = 2, 2012 - 2009 = 3, 2013 - 2009 = 4

y deviations: 107,348 - 113,110 = -5,762, 109,321 - 113,110 = -3,789, 112,509 - 113,110 = -601, 116,420 - 113,110 = 3,310, 119,951 - 113,110 = 6,841

Sum of the x deviations = 0 + 1 + 2 + 3 + 4 = 10

Sum of the y deviations = -5,762 + -3,789 + -601 + 3,310 + 6,841 = 656

Product of x and y deviations: 0*-5,762 + 1*-3,789 + 2*-601 + 3*3,310 + 4*6,841 = 8161

Sum of the squared x deviations: 0^2 + 1^2 + 2^2 + 3^2 + 4^2 = 30

Sum of the squared y deviations: (-5,762)^2 + (-3,789)^2 + (-601)^2 + 3,310^2 + 6,841^2 = 134,721,5
correlation = (10 * 656) / sqrt(30 * 134,721,521) = 6,560 / 111,751.539 = 0.058587

Rounding to the nearest thousandth, the coefficient of correlation is approximately 0.059.

User Rahul Kurup
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