Assertion: regression's variable | /r/HasProperty | dependent
Facets:
value: linearly
type: DEGREE
Source sentences:
text: The main difference between linear and polynomial regression is that linear regression requires the dependent and independent variables to be linearly related while this may better fit the line if we include any higher degree to the independent variable term in the equation.
text: The variable you want to predict is called the dependent variable.
text: The fixed/controlled variable is known as the explanatory or independent variable and the other variable is known as the response or dependent variable.
text: In these cases, it is not clear which variable would be considered the independent (x) or dependent (y) variable.
text: The other variable, denoted y, is regarded as the response, outcome, or dependent variable.
text: Standard linear regression requires the dependent variable to be measured on a continuous (interval or ratio) scale.
text: Binary logistic regression requires the dependent variable to be binary.
text: A dependent variable is the variable which is dependent over the actions of the independent variable.
text: While Correlation Analysis assumes no causal relationship between variables, Regression Analysis assumes that one variable is dependent upon:
text: These regression and kriging models predict the dependent variable by separating the estimation of the mean (average) value and an error term:
text: If the independent variables are linearly dependent, SST will produce an error message ( singularity in independent variables ) and abort the REG command.
text: The variable we want to predict is called the dependent variable (or sometimes, the outcome, target or criterion variable).
text: Often, the variable that is regressed upon is called the independent variable, and the variable that is being regressed is called the dependent variable.
text: When doing prediction, the independent variable is called the predictor and the dependent variable is called the criterion.
text: The variable we want to predict is called the dependent variable (or sometimes, the outcome, target or criterion variable).
text: The variable whose value is to be predicted is known as the dependent variable and the ones whose known values are used for prediction are known independent (exploratory) variables.
text: The variable whose value is to be predicted is known as the dependent variable and the one whose known value is used for prediction is known as the independent variable.