Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Linear Regression: Basics and Interpretation

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (52)

Linear Regression: Basics and Applications Log in to Mediaspace to watch this video

Explores linear regression using the method of least squares to fit data points with the equation y = ax + b.

Regression: Simple and Multiple Linear Log in to Mediaspace to watch this video

Covers simple and multiple linear regression, including least squares estimation and model diagnostics.

Back to Linear Regression Log in to Mediaspace to watch this video

Covers linear regression, regularization, inverse problems, X-ray tomography, image reconstruction, data inference, and detector intensity.

Basics of Linear Regression Log in to Mediaspace to watch this video

Covers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.

Linear Regression: Basics and Principle of Least Squares Log in to Mediaspace to watch this video

Covers linear regression basics, focusing on minimizing error using the principle of least squares and includes an ANOVA table and practical example in R.

Linear Regression: Estimation and Prediction Log in to Mediaspace to watch this video

Covers the basics of linear regression, focusing on estimation and prediction.

Linear Regression: Ozone Data Analysis Log in to Mediaspace to watch this video

Explores linear regression analysis of ozone data using statistical models.

Linear Regression: Basics and Estimation Log in to Mediaspace to watch this video

Covers the basics of linear regression and how to solve estimation problems using least squares and matrix notation.

Linear Regression: Parametric Models and Optimization Log in to Mediaspace to watch this video

Covers linear regression, parametric models, optimization, and predictive modeling using labeled examples.

Basics of linear regression model Log in to Mediaspace to watch this video

Covers the basics of linear regression, OLS method, predicted values, residuals, matrix notation, goodness-of-fit, hypothesis testing, and confidence intervals.

Regression: High Dimensions Log in to Mediaspace to watch this video

Explores linear regression in high dimensions and practical house price prediction from a dataset.

Advanced Machine Learning: Ridge Regression Log in to Mediaspace to watch this video

Covers linear regression basics, closed-form solutions, singularity, and regularizing techniques.

Applied Biostatistics: Bivariate Data Analysis Log in to Mediaspace to watch this video

Explores bivariate data analysis in applied biostatistics, covering correlation, regression, model selection, and diagnostics.

Statistics: Exploratory Data Analysis Log in to Mediaspace to watch this video

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Supervised Learning in Financial Econometrics Log in to Mediaspace to watch this video

Explores supervised learning in financial econometrics, covering linear regression, model fitting, potential problems, basis functions, subset selection, cross-validation, regularization, and random forests.

Data-Driven Modeling: Regression Log in to Mediaspace to watch this video

Introduces data-driven modeling with a focus on regression, covering linear regression, risks of inductive reasoning, PCA, and ridge regression.

Multi-linear regression Log in to Mediaspace to watch this video

Covers the concept of multi-linear regression and the least squares method for model fitting.

Feature Engineering: Polynomial Regression Log in to Mediaspace to watch this video

Covers fitting linear regression on features of the original predictors for flexible feature representation.

Logistic Regression: Classification Log in to Mediaspace to watch this video

Covers supervised learning, classification using logistic regression, and challenges in optimization.

Linear Regression: Multicollinearity, Outliers, Model Specification Log in to Mediaspace to watch this video

Covers multicollinearity, outliers, model specification, and practical strategies in linear regression.

Page 2 of 3