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1. Given the following set of paired data, calculate the correlation coefficient. Round your final answer to two decimal places.
x
6
9
12
15
23
y
11
5
1
3
2. Is there a correlation between x and y in Problem 1? Use Table A-5 to help you to explain your answer. Don't just say yes or no!
3. Find the equation of the regression line for the data in Problem 1. Round your slope and y-intercept to three decimal places.
4. Use your regression line equation to predict the value of y for x = 13. Round your answer to two decimal places.
5. Does it make sense to use the regression line to make predictions for the data in Problem #1? Explain.
What variables might explain or predict an outcome in your department or life? If you generated a regression equation, how would you interpret it and the residuals from it?
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