Using Linear Models for t tests and ANOVA, Clearly Explained!!!
Published November 18, 2022
At a glance
Views
90,771
Likes
1,394
Comments
63
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
This StatQuest shows how the methods used to determine if a linear regression is statistically significant (covered in part 1) can be applied to t-tests and ANOVA. It also introduces the concept of a "design matrix". Part 0: https://youtu.be/aFDOzpTeg0s Part 1: https://youtu.be/7ArmBVF2dCs For a complete index of all…
- Published
- November 18, 2022
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Using Linear Models for t tests and ANOVA, Clearly Explained!!! is doing
It has 90.7K views in total. It ranks #12,276,987 among tracked YouTube videos by views.
Key facts about Using Linear Models for t tests and ANOVA, Clearly Explained!!!
- Total views
- 90.7K
- Total likes
- 1.39K
- Total comments
- 63
- Published
- November 18, 2022
- Global rank by views
- #12,276,987
Frequently asked questions
How many views does Using Linear Models for t tests and ANOVA, Clearly Explained!!! have?
Using Linear Models for t tests and ANOVA, Clearly Explained!!! has 90,771 views, 1,394 likes and 63 comments, ranking #12,276,987 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.