Question: A simple linear regression model relating y = total catch of lobsters (in kilograms) and x = average percentage of traps allocated per day to

A simple linear regression model relating y = total catch of lobsters (in kilograms) and x = average percentage of traps allocated per day to exploring areas of unknown catch (called search frequency) was fit to the data in the file. A portion of the XLSTAT printout is shown below.
a. Give the null and alternative hypotheses for testing whether total catch (y) is negatively linearly related to search frequency (x).
b. Find the p-value of the test on the XLSTAT printout.
c. Give the appropriate conclusion of the test, part c, using Î± = .05.
For Information: Refer to the Bulletin of Marine Science (April 2010) study of teams of fishermen fishing for the red spiny lobster in Baja California Sur. Mexico, Exercise 11.16.

Model parameters Value Standard error 829.0411 41.9014 Pr It! Source Intercept 9877.8300 SEARCHFR -163.6024 11.9148 0.0001 3.9045 0.0018 Lower bound (95%) Upper bound (95%) 8086.795711668.8643 -73.0799 254.1249 Equation of the model CATCH-9877.82997-163.60242 SEARCH FREQ

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