QUESTION 25 OF 30

What are some of the assumptions required to accurately perform a linear regression analysis?

As a data scientist with Doordash, you use many different methodologies to analyze the data sets you are working with. Often these methodologies involve several steps, assumptions, or other items. A common practice during an interview is providing the interviewer with a list of items in your answer. Organize your answer and make sure that none of the items are repeated in your answer.

"There are several assumptions that I would use when performing a linear regression analysis. Some of these include:
oEnsuring that the data I use in the sample is representative of the population
oDetermining if the variance of the residual is the same for any value of X
oConfirming that the relationship between X and the mean of Y is linear
oReviewing the observations to ensure that they are unique and independent of each other"

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DoorDash Data Scientist Mock Interview

What are some of the assumptions required to accurately perform a linear regression analysis?

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