Lecture_20Video_20W10D2_20-_20Categorical_20predictors_20in_20MLR_20-_20part_202

Categorical Predictors

Variables that represent categories or groups, often represented as dummy variables in regression analysis.

Dummy Variables

Binary variables created to represent categories in regression models, allowing categorical variables to be included in the analysis.

Factor Function

A function in R that converts a categorical variable into a factor, enabling proper handling of categorical data.

ANOVA

Analysis of Variance, a statistical method used to compare means among groups and test if at least one group mean is different from the others.

Complete Cases

Rows in a dataset that have no missing values in any of the variables being analyzed.

Levels Function

A function in R used to view or set the names of the levels in a factor variable.

Box Plot

A graphical representation that shows the distribution of a dataset based on a five-number summary (minimum, first quartile, median, third quartile, maximum).

Cross Tabulation

A method to quantitatively analyze the relationship between multiple variables by creating a matrix of frequencies.

p-value

A measure used in hypothesis testing to determine the strength of evidence against the null hypothesis; a lower p-value indicates stronger evidence.

Regression Model

A statistical model that describes the relationship between one or more predictors and a response variable, exploring how the response changes with predictors.

Hypothesis Testing

The process of determining whether there is enough statistical evidence in a dataset to infer that a certain condition is true for the entire population.

Levels of a Factor

The unique values or categories that a factor variable can take, which represent the distinct groups in the data.