A famous data set gives measurements of 143 fish of 6 species caught from the same lake (Längelmävesi) in Finland. The data can be used to model the relationship between weight and length (from the nose to the end of the tail). Weight is measured in grams and length is measured in cm. As might be expected, the relationship between weight and length is nonlinear and so logarithms (to base 10) were taken of both variables prior to analysis.Of interest was a comparison between two of the species, Saerki and Parkki. A multiple linear regression analysis of the log-transformed data in R gave the following (edited) output:Coefficients: Estimate Sd. Error (Intercept) -2.1424 0.1525log10(Length3) 3.0794 0.1092SpeciesParkki 0.1148 0.0169Based on this model, the estimated weight for a 40 cm Parkki is g
Question
A famous data set gives measurements of 143 fish of 6 species caught from the same lake (Längelmävesi) in Finland. The data can be used to model the relationship between weight and length (from the nose to the end of the tail). Weight is measured in grams and length is measured in cm. As might be expected, the relationship between weight and length is nonlinear and so logarithms (to base 10) were taken of both variables prior to analysis.Of interest was a comparison between two of the species, Saerki and Parkki. A multiple linear regression analysis of the log-transformed data in R gave the following (edited) output:Coefficients: Estimate Sd. Error (Intercept) -2.1424 0.1525log10(Length3) 3.0794 0.1092SpeciesParkki 0.1148 0.0169Based on this model, the estimated weight for a 40 cm Parkki is g
Solution
To answer this question, we need to follow these steps:
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First, we need to convert the length of the fish from cm to log10 scale because the model is built on log-transformed data. So, log10(40) = 1.60206.
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Then, we substitute the log-transformed length and the species coefficient into the regression equation. The regression equation is: log10(Weight) = Intercept + (log10(Length3) * Coefficient of Length) + (SpeciesParkki * Coefficient of SpeciesParkki).
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Substituting the values into the equation, we get: log10(Weight) = -2.1424 + (3.0794 * 1.60206) + (1 * 0.1148) = 1.879.
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Finally, we need to convert the log-transformed weight back to the original scale by taking 10 to the power of the result. So, the estimated weight for a 40 cm Parkki is 10^1.879 = 75.6 grams.
So, based on this model, the estimated weight for a 40 cm Parkki is approximately 75.6 grams.
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