Ch. 9: Intro to Regression Flashcards
Adjusted R squared
A value of R squared that takes the number of independent variables in the regression equation into account
Confidence Interval (For regression)
A range of values in which the true population coefficient is likely to fall
Constant
the predicted value of the dependent variable when the independent variable is zero
Logistic regression
a type of regression that uses a binary variable as a dependent variable that generates predicted probabilities of an observation falling in either of the two categories of the binary dependent variable for a given array of independent variables
Multicollinearity
A state in which two independent variables are highly correlated with each other
Omitted variable bias
leaving out independent variables that explain variation in the dependent variable
Ordinary least squares linear regression (linear regression)
A type of regression analysis that requires a dependent variable with ordinal, interval, or ratio measurement and a relatively widespread distribution of values
R squared
the percentage of variation in the dependent variable that is explained by the independent variables included in the analysis
Regression Analysis
A method that utilizes a sample of data to determine how variables are correlated or to produce estimates of a dependent variable based on the values of one or more independent variables
Standard error of the estimate
a measure of the accuracy of the predictions made by the regression line in the units of the dependent variable
Standard error of the coefficient
a measure of how precisely the regression model estimates the coefficient’s value of the population
The three S’s
the sign, size,, and significance of an independent variable’s coefficient in regression analysis
Unstandardized Beta Coefficient/coefficient
The slope of the line that best describes the relationship between an independent variable and a dependent variable
