Stats 2 Exam 2 Flashcards
Dependent Variable
Variable that is being predicted - Regression Analysis
Independent Variable
The Predictor Variable - Regression Analysis
Regression Analysis
Process of constructing a math model or function that can be used to predict one variable by another variable
Residual
Difference between the actual Y value and the Y value predicted by the regression model;
the error of the regression model in predicting each value of the dependent variable
Scatter Plot
a plot or graph of the pairs of data from a simple regression analysis
Adjusted Rsquared
modified value of Rsquared in which the degrees of freedom are taken into account, thereby allowing the researcher to determine whether the value of Rsquared is inflated for a particular multiple regression model
Coefficient of multiple determination (Rsquared)
the proportion of variation of the dependent variable accounted for by the independent variables in the regression model
Multiple Regression
Regression analysis with one dependent variable and two or more independent variables or at least one nonlinear independent variable
Correlation
the measure of the degrees of relatedness of two variables
The value of r varies from
-1 to 0 to 1
Perfect positive correlation results in an r value of
+1
regression
The process of constructing a mathematical model or function that can be used to predict or determine one variable by another variable is
simple regression
Bivariate linear regression is often termed
dependent variable
In regression, the variable being predicted is usually referred to as the:
Slope
B1 represents the population - Regression Analysis
