Organized by: MaxVel Research i-Tech
Date: 🗓️ October 27–28, 2025
Time: ⏰ 6:30 PM – 8:30 PM (India)
Mode: 💻 Google Meet
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Fee (India): ₹200/- | USD 20
Register Here: https://forms.gle/H4n6Br1cVGKZNbDk7
A comprehensive and comparative exploration of GLM and its Equivalent statistical tests — understanding how various statistical tests are unified under the General Linear Model framework.
| # | Statistical Test | Equivalent Regression Model |
|---|---|---|
| 1 | One-sample t-test | Regression with only an intercept |
| 2 | Independent t-test | Regression with one binary predictor |
| 3 | Paired t-test | Regression on difference scores |
| 4 | One-way ANOVA | Regression with categorical predictors |
| 5 | Two-way ANOVA | Regression with categorical predictors (interaction) |
| 6 | Repeated Measures ANOVA | Regression with time as a within-subject factor |
| 7 | ANCOVA | Multiple regression with covariate control |
| 8 | Correlation (r) | Simple regression slope (b₁) |
| 9 | Chi-square (χ²) | Logistic regression (categorical Y) |
| 10 | Moderation / Mediation | OLS Linear Regression with Interaction |
Understand the unifying logic behind all major statistical tests
Learn how each test maps to a regression framework
Gain clarity on when and how to use each model
Develop confidence in interpreting and comparing outputs