Regression analysis

GPTKB entity

Statements (59)
Predicate Object
gptkbp:instanceOf statistical analysis
gptkbp:analyzes dependent variable
independent variable
gptkbp:assumes statistical analysis
gptkbp:canBe multiple
simple
linear
nonlinear
gptkbp:detects trends
causal relationships
correlations
gptkbp:estimatedCost parameters
gptkbp:hasApplication gptkb:medicine
biology
engineering
environmental science
finance
marketing
psychology
social sciences
gptkbp:hasType gptkb:Poisson_regression
gptkb:Cox_regression
gptkb:lasso_regression
gptkb:polynomial_regression
linear regression
logistic regression
ridge regression
multiple regression
nonlinear regression
ordinal regression
probit regression
quantile regression
robust regression
stepwise regression
https://www.w3.org/2000/01/rdf-schema#label Regression analysis
gptkbp:inventedBy gptkb:Francis_Galton
gptkb:Karl_Pearson
gptkb:Ronald_Fisher
gptkbp:originatedIn 19th century
gptkbp:output R-squared
regression coefficients
confidence intervals
p-values
residuals
gptkbp:relatedTo time series analysis
maximum likelihood estimation
ANOVA
predictive modeling
correlation analysis
least squares
gptkbp:requires data
assumptions
gptkbp:usedFor estimating relationships between variables
gptkbp:usedIn gptkb:machine_learning
data science
statistics
econometrics
gptkbp:bfsParent gptkb:F-distribution
gptkbp:bfsLayer 5