In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience in linear model building on real data sets.

Save guides, add subjects and pick up where you left off with your BBC account. Use the equation of the line of best fit to estimate Jill's score in her science test if she scored 14 in her Maths ...

In this online data science specialization, you will learn to use intermediate and advanced statistical modeling techniques, including the theory and application of linear regression analysis, ANOVA ...

See Chapter 5, "Introduction to Categorical Data Analysis Procedures," and Chapter 22, "The CATMOD Procedure," for more information. GENMOD uses maximum likelihood estimation to fit generalized linear ...

Computational Data-Driven Modeling (CDM) I is the first in a sequence of two courses designed to introduce the student to basics skills in exploratory data analysis and data-driven computational ...