Multiple regression using STATA video 3 evaluating assumptions

Third video in the series, focusing on evaluating assumptions following OLS regression. Specifically focuses on use of commands for obtaining variance inflation factors, generating fitted Y values, unstandardized, standardized, and studentized residuals. Covers use of residuals plots for evaluating assumptions related to linearity and constant variances. Also, covers ways of identifying outliers using studentized residuals.
The data for this video can be downloaded here: drive.google.c...
Word document containing commands can be downloaded here: drive.google.c...

[@estuardocm7989]

Bro, keep doing this, you save my semester

[@laurag809]

You save my semester, keep doing what you do!!!!

[@josephkamtchumtatuene521]

Thank you very much for your excellent and very practical tutorials!

[@arthurbaz2]

Thank you for such a positive externality!

[@mikecrowson2462]

You are so welcome! thanks for visiting!

[@madonnam.tejada7430]

You are an angel!;-) Many thanks!

[@melissa19848]

Thank you for this video! Can multiple regression be used for both time series and cross-sectional data?

[@cielanugerah1071]

many thanks for the video, so helpful.

[@uyierhabor8473]

xtreg DiffMeanHourlyPercent Year2019 Year2020, fe - I am trying to test the heteroskedasticity assumption before running this regression model, but I am not sure which test I should use as my independent variables are year dummies.

[@Dr_Shiny]

fantastic work

[@mikecrowson2462]

Thank you for the feedback. I appreciate you visiting my site!

[@oidiota17]

When you type estat vif, achieve is not in the table. How stata knew to compare it to Achieve?

[@amonoracheal9118]

Thank you so much:)

[@kismo5621]

Hi, very nice video!. i have a question. How i can use predict for the residuals assumption when i used robust standard errors?

[@doaataqi9886]

very useful and clear. Thank you very much

[@mikecrowson2462]

Thank you! Glad you found the video useful!

[@danniliu8725]

so useful! thank you!