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3 weeks ago
Shrimp From 1982 to 1990, there was a decrease in the number of white shrimp harvested from the Galveston Bay. Here is the regression analysis and a residual plot. The year has been shortened to two digits (82, 83……) and the dependent variable is the number of shrimp collected per hour.


a. Write the regression equation and define your variables.
b. Find the correlation coefficient and interpret it in context.
c. Interpret the value of the slope in context.
d. In 1991, the shrimp production rebounded (in part due to the effects of El Nino) to 81 shrimp/hour. Find the value of this residual.
e. The prediction for 1991 was very inaccurate. What name do statisticians give to this kind of prediction error?
Textbook 

Stats: Modeling the World


Edition: 4th
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3 weeks ago
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a. = 816.7 - 8.933( year)
b. -0.974; This tells us there is a strong, negative correlation between year and number of shrimp collected per hour.
c. For every year that goes by, the number of shrimp collected per hour is decreasing by about 8.9.
d. Prediction = 3.797 shrimp/hour; 81 – 3.797 = 77.2 shrimp/hour
e. This is extrapolation. We assume that the trend will continue, but it did not.
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