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r = 0.238, n = 92
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Construct a scatter diagram for the given data. 
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Determine which plot shows the strongest linear correlation. 
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Find the value of the linear correlation coefficient r. 
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| 0.708 |
| -0.071 |
| 0.246 |
| 0.235 |
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Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. 
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Find the best predicted value of y corresponding to the given value of x. 
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| 19.0 |
| 18.5 |
| 22.0 |
| 18.0 |
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Is the data point, P, an outlier, an influential point, both, or neither? 
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| Influential point |
| Neither |
| Outlier |
| Both |
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Use the computer display to answer the question. 
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| (31.61, 75.09); We can be 95% confident that the test score of an individual who studies 4.5 years will lie in the interval (31.61, 75.09) |
| (42.72, 63.98); We can be 95% confident that the test score of an individual who studies 4.5 years will lie in the interval (42.72, 63.98) |
| (31.61, 75.09); We can be 95% confident that the mean test score of all individuals who study 4.5 years will lie in the interval (31.61, 75.09) |
| (42.72, 63.98); We can be 95% confident that the mean test score of all individuals who study 4.5 years will lie in the interval (42.72, 63.98) |
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Use the given information to find the coefficient of determination. 
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| -0.0707 |
| 0.5009 |
| 0.2353 |
| 0.7077 |
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Find the explained variation for the paired data. 
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| 87.4757 |
| 511.724 |
| 498.103 |
| 599.2 |
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Find the unexplained variation for the paired data. 
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| 599.2 |
| 96.103 |
| 511.724 |
| 87.476 |
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Find the total variation for the paired data. 
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| 498.103 |
| 599.2 |
| 87.4757 |
| 511.724 |
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Find the standard error of estimate for the given paired data. 
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| 13.060 |
| 4.1097 |
| 5.3999 |
| 7.1720 |
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Construct the indicated prediction interval for an individual y. 
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| 58.5 < y < 84.5 |
| 56.5 < y < 86.5 |
| 52.1< y < 90.9 |
| 65.4 < y < 77.6 |