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.

Dependent Variable: Shrimp/hour
$\text { R-sq }=0.9496342$
s: 6.0232354

$ \begin{array}{lrr}\text { Parameter } & \text { Estimate } & \text { Std. Err. } \ \text { constant } & 816.71111 & 66.903419 \ \text { year } & -8.9333333 & 0.77759635\end{array} $

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?
^

Question

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.

Dependent Variable: Shrimp/hour
$\text { R-sq }=0.9496342$
s: 6.0232354

$ \begin{array}{lrr}\text { Parameter } & \text { Estimate } & \text { Std. Err. } \ \text { constant } & 816.71111 & 66.903419 \ \text { year } & -8.9333333 & 0.77759635\end{array} $

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?
^

Quizplus · Accepted Answer

The Answer of 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.

Dependent Variable: Shrimp/hour
$\text { R-sq }=0.9496342$
s: 6.0232354

$ \begin{array}{lrr}\text { Parameter } & \text { Estimate } & \text { Std. Err. } \ \text { constant } & 816.71111 & 66.903419 \ \text { year } & -8.9333333 & 0.77759635\end{array} $

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?
^

Shrimp from 1982 to 1990, There Was a Decrease in the Number