For each X-Y data set (n = 12): |
Data Set (a) | ||||||||||||
X | 64.7 | 25.9 | 65.6 | 49.6 | 50.3 | 26.7 | 39.5 | 56.0 | 90.8 | 35.9 | 39.9 | 64.1 |
Y | 5.8 | 18.1 | 10.6 | 11.9 | 11.4 | 14.6 | 15.7 | 4.4 | 2.2 | 15.4 | 14.7 | 9.9 |
Data Set (b) | ||||||||||||
X | 55.1 | 59.8 | 72.3 | 86.4 | 31.1 | 41.8 | 40.7 | 36.8 | 42.7 | 28.9 | 24.8 | 16.2 |
Y | 15.7 | 17.5 | 15.2 | 20.6 | 7.3 | 8.2 | 9.8 | 8.2 | 13.7 | 11.2 | 7.5 | 4.5 |
Data Set (c) | ||||||||||||
X | 53.3 | 18.1 | 49.8 | 43.8 | 68.3 | 30.4 | 18.6 | 45.8 | 34.0 | 56.7 | 60.3 | 29.3 |
Y | 10.2 | 6.9 | 14.8 | 13.4 | 16.8 | 9.5 | 16.3 | 16.4 | 1.5 | 11.4 | 10.9 | 19.7 |
Click here for the Excel Data File |
(a) | Match the data sets to the scatter plots below. | ||||||
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(b) | Use Excel to calculate the sample correlation coefficient for each data set. (Negative amounts should be indicated by a minus sign. Round your answers to 4 decimal places.) |
Data Set (a) | |
Data Set (b) | |
Data Set (c) | |
(c) | Match the data sets to the scatter plot descriptions. | ||||||
There appears to be a weak, positive relationship. | |||||||
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There appears to be a strong, positive linear relationship. | |||||||
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There appears to be a strong, negative linear relationship. | |||||||
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Solution
a)
Scatter plot for Dataset (a)
Scatter plot for Dataset (b)
Scatter plot for Dataset (c)
b)
sample correlation coefficient
dataset a = -0.8841
dataset b = 0.90875
dataset c =0.170358
c)
(c) | Match the data sets to the scatter plot descriptions. |
There appears to be a weak, positive relationship.
datset c
There appears to be a strong, positive linear relationship.
dataset b
There appears to be a strong, negative linear relationship |
datset a
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