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Refer to file ‘Q1.csv’ on Canvas with data about some larvae. Consider a linear model that...

Refer to file ‘Q1.csv’ on Canvas with data about some larvae. Consider a linear model that predicts the metabolic rate using body size (measured in grams) as an explanatory variable. The variable names in the file are descriptive of what’s being measured. Consider also similar models but with a log base 10 transformation of only metabolic rate, only body size, or both variables. From all the options considered above, which model best satisfies the conditions that can be assessed with residual plots and with Normal probability plots (or with Normal quantile plots)? Explain and provide all necessary plots and all your work in R. in the answer plot should be included this is the file: https://ufile.io/nb3q6

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