Mathematics Stack Exchange is a question and answer site for people studying math at any level and professionals in related fields. It's 100% free, no registration required.

Sign up
Here's how it works:
  1. Anybody can ask a question
  2. Anybody can answer
  3. The best answers are voted up and rise to the top

Assume that the relation between temperature and time is defined as follows: $$T = A^kC$$ We can find parameters $A$ and $C$ using the least-square method. The given relation is not linear, but we can circumvent this problem using the following relation between $log(T)$ and $k$: $$log(T) = k log(A) + log(C)$$ How can I show that because of this transformation, the least-square method, bij approach, minimizes the sum of the squares of relative temperature errors (given that these are small enough)?

share|cite|improve this question

Your Answer


By posting your answer, you agree to the privacy policy and terms of service.

Browse other questions tagged or ask your own question.