Date

Spring 2022

Document Type

Paper

Department

School of Business

Faculty Advisor

Mitchell Priestley

Abstract

Our study looks at different species of fish and uses their cross-length and volume to find correlations in weight among the different fish. The different type of fish that we compare include perch, pike, parkki, whitefish, bream, roach, and smelt. The dependent variable that we are using is weight. Once we predict the weight of the individual fish, we will also compare that weight to other fish species. The result of the data are that there is linearity, where the adjusted R squared is between 0.94 and 0.97, depending on our model. Therefore, 94 to 97 percent of the variability in a fish’s weight is explained by the regressors. For this first regressor, using volume, there was a correlation of 0.97 between the volume and the different types of fish. Then, for just the length (not length squared) and the different types of fish, there was a correlation of 0.94. In this study, we found that this method of estimating the weight of the fish before they are actually weighed on a scale was found to be most effective for box-shaped fish and not as effective for normal-shaped fish.

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