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used to predict the dependent variable
Simple linear regression has one independent variable and one dependent variable. Multiple linear regression has more than one independent variables.
True.
In cases wherethe dependent variable can take any numerical value for a given set of independent variables multiple regression is used.But in cases when the dependent variable is qualitative(dichotomous,polytomous)then logistic regression is used.In Multiple regression the dependent variable is assumed to follow normal distribution but in case of logistic regression the dependent variablefollows bernoulli distribution(if dichotomous) which means it will be only0 or 1.
In the context of regression, it is the y-intercept: the value of the dependent variable when the independent is zero.
regression analysis
The independent variable is the variable that is altered by the scientist, and the dependent variable's value is dependent on the value of the independent variable.
a dependent variable and an independent variable a dependent variable and an independent variable they are the dependent and independent variable
The independent variable is the variable that is altered by the scientist, and the dependent variable's value is dependent on the value of the independent variable.
and independent variable is bigger than a dependent variable
The dependent variable is dependent on the independent variable, so when the independent variable changes, so does the dependent variable.
The independent variable is changed by the scientist which then changes the dependent variable. The dependent variable relies on the independent variable.