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The following data gave X = the water content of snow on April 1 and Y = the yield from April to July (in inches) on the Snake River watershed in Wyoming for 1919 to 1935. (The data were taken from an article in Research Notes,Vol. 61, 1950, Pacific Northwest Forest Range Experiment Station, Oregon). x 23.1 32.8 31.8 32.0 30.4 24.0 39.5 24.2 52.5 37.9 30.5 25.1 12.4 35.1 31.5 21.1 27.6 y 10.5 16.7 18.2 17.0 16.3 10.5 23.1 12.4 24.9 22.8 14.1 12.9 8.8 17.4 14.9 10.5 16.1 (a) Estimate the correlation between Y and X. Round your answer to 3 decimal places

1 Answer

5 votes

Answer:

r=0.933

Explanation:

X = the water content of snow on April 1

Y = the yield from April to July (in inches) on the Snake River watershed in Wyoming for 1919 to 1935.

x: 23.1 32.8 31.8 32.0 30.4 24.0 39.5 24.2 52.5 37.9 30.5 25.1 12.4 35.1 31.5 21.1 27.6

y: 10.5 16.7 18.2 17.0 16.3 10.5 23.1 12.4 24.9 22.8 14.1 12.9 8.8 17.4 14.9 10.5 16.1

We can construct the following table

n
\sum x
\sum y
\sum x^2
\sum y^2
\sum xy

______________________________________________

1 23.1 10.5 533.61 110.25 242.55

2 32.8 16.7 1075.84 278.89 547.76

3 31.8 18.2 1011.24 331.24 578.76

4 32.0 17.0 1024 289 544

5 30.4 16.3 924.16 265.69 495.52

6 24.0 10.5 600.25 110.25 252

7 39.5 23.1 1560.25 533.61 912.45

8 24.2 12.4 585.64 153.76 300.48

9 52.5 24.9 2756.25 620.01 1307.25

10 37.9 22.8 1436.41 519.84 864.12

11 30.5 14.1 930.25 198.81 430.05

12 25.1 12.9 630.01 166.41 323.79

13 12.4 8.8 153.76 77.44 109.12

14 35.1 17.4 1232.01 302.76 610.74

15 31.5 14.9 992.25 222.01 469.35

16 21.1 10.5 445.21 110.25 221.55

17 27.6 16.1 761.76 259.21 444.36

____________________________________________

On this case n=17,
\sum x = 511.5
\sum y=267.1
\sum x^2 =16628.65
\sum y^2 =4549.43
\sum xy =8653.45

And we can use the following formula to calculate the correlation coefficient:


r=(n(\sum xy)-(\sum x)(\sum y))/(√([n\sum x^2-(\sum x)^2][n\sum y^2-(\sum y)^2]))

And replacing we have:


r=(17(8653.45)-(511.5)(267.1))/(√([17(16628.65)-(511.5)^2][17(4549.43)-(267.1)^2]))=0.933

User Van Kichline
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