DoorDash Data Scientist Mock Interview
Practice 30 DoorDash Data Scientist interview questions covering experimentation, marketplace metrics, and product analytics.
Question 25 of 30
What are some of the assumptions required to accurately perform a linear regression analysis?
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William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
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.
William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
"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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