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Luokat: Kaikki - models - diagnostics - correlation - interpretation

jonka Nurjana Nurjana 1 kuukausi sitten

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Correlation

Understanding the relationship between variables is crucial in statistical analysis, and several methods are employed to measure and interpret these relationships. Correlation, for instance, quantifies the degree to which two variables move in relation to one another.

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Correlation

Interpretation

Positive, negative, or no correlation.

Strength of the correlation.

Regression

Diagnostics

Outliers (using Cook’s distance).

Multicollinearity (using VIF)

Residual analysis.

Models the relationship between a dependent variable and one or more independent variables.

Model Fitting

Polynomial Regression

Fits polynomial equation

Logistic Regression

Multiple Linear Regression

Used for binary outcomes

Applications

Assumptions

Normality of residuals.

Homoscedasticity.

Linearity.

Calculation

Formula for Pearson

Types

Kendall’s Tau

Spearman's Rank Correlation

Pearson Correlation

Definition

Measures the relationship between two variables.