In baseball, is there a linear correlation between batting average and home run percentage? Let x represent the batting average of a professional baseball player, and let y represent the player's home run percentage (number of home runs per 100 times at bat). A random sample of n = 7 professional baseball players gave the following information.
x | 0.253 | 0.245 | 0.286 | 0.263 | 0.268 | 0.339 | 0.299 |
y | 1.4 | 3.7 | 5.5 | 3.8 | 3.5 | 7.3 | 5.0 |
(a) Make a scatter diagram of the data.
Then visualize the line you think best fits the data.
(b) Use a calculator to verify that Σx = 1.953,
Σx2 = 0.551, Σy = 30.2,
Σy2 = 150.88 and Σxy = 8.741.
Compute r. (Round to 3 decimal places.)
As x increases, does the value of r imply that
y should tend to increase or decrease? Explain your
answer.
Given our value of r, y should tend to decrease as x increases.Given our value of r, we can not draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to remain constant as x increases.Given our value of r, y should tend to increase as x increases.
X | Y | X * Y | X2 | Y2 | |
0.253 | 1.4 | 0.3542 | 0.064009 | 1.96 | |
0.245 | 3.7 | 0.9065 | 0.060025 | 13.69 | |
0.286 | 5.5 | 1.573 | 0.081796 | 30.25 | |
0.263 | 3.8 | 0.9994 | 0.069169 | 14.44 | |
0.268 | 3.5 | 0.938 | 0.071824 | 12.25 | |
0.339 | 7.3 | 2.4747 | 0.114921 | 53.29 | |
0.299 | 5 | 1.495 | 0.089401 | 25 | |
Total | 1.953 | 30.2 | 8.7408 | 0.551145 | 150.88 |
r = 0.878
Given our value of r, y should tend to increase as x increases.
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