WEEK 4

Index indicating the proportion of the variance in the dependent variable that can be explained by the independent variables.

Technique used to analyze relationships between variables and make predictions about the value of variables.

Equation for the best-fitting straight line to characterize the relationship between independent and dependent variables.

Point at which the line passes through the Y axis and the value of X is zero.

Rate at which a line rises across a horizontal distance; the steepness of a regression line.

Error term or unexplained variance.

Method of estimating parameters in a model such that the squared error term is minimized.

Standard deviation of the errors from the regression line; used to indicate the accuracy of the predictions.

Procedure for understanding the effects of two or more independent variables on dependent variable using least squares estimation.

Index that summarizes the magnitude of the relationship between two or more independent variables and a dependent variable.

Squared multiple correlation coefficient adjusted for sample size and number of predictors to give a more accurate estimate of the relationships in the population.

Multiple regression analysis in which all predictor variables are entered into the equation simultaneously.

Multiple regression analysis in which the predictor variables are entered into the model in steps prespecified by the analyst.

Multiple regression analysis in which predictor variables are entered into the model in steps, in the order in which the increment to R is greatest.

A method of coding categorical variables into dichotomous variables using codes such as 1 and 0 to represent the presence and absence of an attribute (e.g., 1=male, 0=female).

A way of coding categorical variables in multiple variate analysis that uses 1, 0, and -1 to designate categories.

A method of coding categorical variables in a regression analysis to make specific planned comparisons.

When two or more independent variables in a matrix are highly correlated with each other.

A statistical method of used to test mean group differences on a dependent variable, while controlling for one or more extraneous variables (covariates).

A variable that is statistically controlled (held constant) in ANCOVA; typically an extraneous, confounding influence.

Statistical procedure used to test the significance of differences between the means of two or more groups on two or more dependent variables, after controlling for one or more covariates.

Multivariate statistical procedure for examining the relationship between two or more independent variables and two or more dependent variables.