In the problem we have two continuous variables ( chest size and weight). Chest

Question

In the problem we have two continuous variables ( chest size and weight). Chest size is an independent variable while weight is dependent variable. It is necessary to use linear regression to solve this problem. So, for simple linear regression with the following coefficients: beta zero (intercept ) = -264.48 and beta 1 (slope)= 12.54, I need to answer the question: what would be the consequence of trying to predict the weight of a bear with 15 inch chest?
In the problem we have two continuous variables ( chest size and weight). Chest size is an independent variable while weight is dependent variable. It is necessary to use linear regression to solve this problem. So, for simple linear regression with the following coefficients: beta zero (intercept ) = -264.48 and beta 1 (slope)= 12.54, I need to answer the question: what would be the consequence of trying to predict the weight of a bear with 15 inch chest?

Explanation / Answer

Let us take x = 15,

Then:

y = -264.48 + 12.54(15)

y = -76.38

So we can see that if we try to prodict the weight of bear for a 15 inch chest then the weight is coming negative which makes no sense since negative weight is not possible.

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