14-4 Simple Linear Regression by Hand

[@MrStephen0625]

Good day. How close should we be with Y best estimate? Is there a range plus/minus we shoot for?

[@Bradfordx]

For simple linear regression, the Y best estimate (a.k.a. "Y-hat") will be the same as your correlation value. (For multiple regression, it will be the beta value.) Essentially, that is a measure of how well your data fit your model (i.e. how close you are/how much error). The higher, the better estimator and less amount of error.

[@MrStephen0625]

Thanks. Great video.

[@jimadengmialith2846]

Then how can I calculate to get y-hat

[@vasantshahane8075]

How can you calculate x

[@krnl1304]

X and y are usually given

[@RidzVidzOfficial]

so is N the number of sample data points?

[@krnl1304]

Yes