The number of fish in a lake can be modeled by the exponential regression equation y = 14.08 • 2.08x, where x represents the year.Which is the best prediction for the number of fish in year 6? Round your answer to the nearest whole number.A.81B.1758C.176D.1140

A scientist counts 80 fishes in a pond. He marks them all with a UV pen. The next day he counts 60 fish, 24 of which have already been marked with his UV pen. Use this information to estimate the total fish in the pond:

You catch, tag, and release 50 fish back into a pond. Then, you catch 25 more fish, 5 of which are tagged. What is the best estimate of the number of fish in the pond?100 fish250 fish400 fish625 fish

Biologists stocked a lake with 240 fish and estimated the carrying capacity (the maximal population for the fish of that species in that lake) to be 6,000. The number of fish tripled in the first year.(a) Assuming that the size of the fish population satisfies the logistic equation, find an expression for the size of the population after t years.

World consumption of fish per capita was 9kg in 1961 and 18.9kg in 2011. Calculate the average percentage increase per year per capita. Only give the numerical answer.

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