Answer :
The question involves predicting the chirping rate of tree crickets at a certain temperature using the Arrhenius equation. A predicted rate of 3000 chirps per minute is implausible, indicating a misuse of the regression equation. In modelling biological data, it is important to consider the best-fit model for accuracy.
Tree cricket chirping has been observed to correlate with temperature, described by Arrhenius' relationship between reaction rates and temperature, allowing biologists to predict the rate at which crickets chirp under different temperatures using an Arrhenius plot of ln(f) against 1/T.
The predicted chirping rate at a temperature of 308 K (35°C) is calculated to be 380 chirps per minute based on an increase in the rate constant from T1 = 296 K where the chirping rate was measured to be 158 chirps per minute. It is important to note that a prediction of a cricket chirping 3000 times in one minute is unrealistic and physically implausible, indicating an error or misunderstanding in interpreting the regression equation. Moreover, when dealing with physical or biological data, linear models may not always be the best choice; other forms of the relationship, such as multi-variable models, might offer improved accuracy.
