Ordinary least squares estimation.
Billy Jack explains explains ordinary least squares (OLS) regression, a method to estimate the effect of a treatment by minimizing the sum of squared differences between observed outcomes and the fitted line.
| Other Authors: | Jack, Billy (academic.) |
|---|---|
| Format: | Video |
| Language: | English |
| Language Notes: | Closed-captioned in English. |
| Published: |
[Washington, D.C.] :
Georgetown University,
2020.
|
| Series: | Regression analysis ;
3. |
| Subjects: | |
| Online Access: | Connect to this streaming video |
Similar Items
R squared.
Published: (2016)
Published: (2016)
Adjusted R squared.
Published: (2016)
Published: (2016)
Understanding R squared or coefficient of variation.
Published: (2019)
Published: (2019)
An example of OLS estimation.
Published: (2020)
Published: (2020)
Regression /
by: Winter, Susan, active 2023
Published: (2023)
by: Winter, Susan, active 2023
Published: (2023)
Guide to multiple regression /
by: Challal, Samia
Published: (2025)
by: Challal, Samia
Published: (2025)
Modeling nonlinearity and interaction in regression analysis using spline variables /
by: Wojtkiewicz, Roger A.
Published: (2026)
by: Wojtkiewicz, Roger A.
Published: (2026)
Review of regression discontinuity design.
Published: (2020)
Published: (2020)
Introduction to regression discontinuity designs.
Published: (2020)
Published: (2020)
Linear functional form.
Published: (2020)
Published: (2020)
Heterogeneous treatment effects.
Published: (2020)
Published: (2020)
Comparing means using a simple binary regression.
Published: (2020)
Published: (2020)
Review of regression analysis.
Published: (2020)
Published: (2020)
Introduction to regression analysis.
Published: (2020)
Published: (2020)
Regression with categorical explanatory variables.
Published: (2016)
Published: (2016)
Regression analysis.
Published: (2022)
Published: (2022)
An introduction to airbag moderation : statistically testing hypotheses.
Published: (2024)
Published: (2024)
Linear regression : introduction.
Published: (2016)
Published: (2016)
An introduction to airbag moderation : definition, explanation and real-world examples.
Published: (2024)
Published: (2024)
What does 'Y is regressed on X' mean?.
Published: (2019)
Published: (2019)
Overview of dependence techniques and linear regression analysis.
Published: (2021)
Published: (2021)
Manual calculation of model parameters.
Published: (2019)
Published: (2019)
Understanding equation and formula of linear regression.
Published: (2019)
Published: (2019)
Understanding unstandardized and standardized beta values.
Published: (2019)
Published: (2019)
Multiple regression : introduction.
Published: (2016)
Published: (2016)
Multiple predictors.
Published: (2016)
Published: (2016)
Applications of linear regression algorithm.
Published: (2019)
Published: (2019)
Collinearity and parsimony.
Published: (2016)
Published: (2016)
Introduction to linear regression.
Published: (2019)
Published: (2019)
Calculating parameters of linear regression model.
Published: (2019)
Published: (2019)
Estimating the LATE using regression analysis.
Published: (2020)
Published: (2020)
R-squared and root mean squared error (RMSE).
Published: (2017)
Published: (2017)
Regression basics /
by: Kahane, Leo H.
Published: (2001)
by: Kahane, Leo H.
Published: (2001)
Partial least squares regression : and related dimension reduction methods /
by: Cook, R. Dennis, et al.
Published: (2024)
by: Cook, R. Dennis, et al.
Published: (2024)
Calculating factor scores : regression, Bartlett, Anderson-Rubin.
Published: (2017)
Published: (2017)
Regression model diagnostics /
Published: (2021)
Published: (2021)
Real-world applications of regression models with count outcomes /
Published: (2021)
Published: (2021)
Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis /
by: Harrell, Frank E.
Published: (2015)
by: Harrell, Frank E.
Published: (2015)
Least squares regression analysis in terms of linear algebra /
by: Robinson, Enders A.
Published: (1981)
by: Robinson, Enders A.
Published: (1981)
Multiple regression.
Published: (2017)
Published: (2017)