EXSC 520 - ADVANCED VOCABULARY || ALL CORRECT.
correlation correct answers (1) A numerical coefficient between +1.00 and -1.00 that indicates
the extent to which two variables are related or associated; (2) the extent to which the direction
and size of deviations from the mean in one variable are related to the direction and size of
deviations from the mean in another variable.
pearson's product moment correlation coefficient correct answers A correlation coefficient
appropriate for use on parametric data. A measure of the relationship or association between two
parametric variables symbolized by r.
coefficient correct answers A known numerical quantity used to explain or modify a variable.
scatter plot correct answers A plot of bivariate data with one variable on the X-axis and the other
on the Y-axis that produces a visual picture of the relationship between the variables.
best fit line correct answers (1) A line on a scatter plot that best indicates the relationship
between the plotted values; (2) a line on a scatter plot that balances the positive and negative
residual values so that they sum to zero.
curvilinear correct answers A plot of bivariate data where the best fit line is not straight.
residual correct answers The vertical distance from any point in a scatter diagram to the line of
best fit.
y-intercept correct answers The point at which the extension of the best fit line intercepts the Y-
axis.
bivariate regression correct answers Regression analysis applied to one independent variable (X)
and one dependent variable (Y).
regression correct answers (1) A method of predicting values on the Y variable based on a value
on one or more X variables and the relationship between the variables; (2) a statistical term
meaning prediction.
standard error of the estimate correct answers A numerical value that indicates the amount of
error in the prediction of a Y value in bivariate or multivariate regression.
homoscedasticity correct answers A condition in which the variance of the residuals of each of
the independent variables in multiple regression is equal or nearly so.
heteroscedasticity correct answers A condition in which the variances of the residuals of the
independent variables in multiple regression are not equal.
multiple correlation correct answers The simultaneous correlation between multiple independent
variables and the dependent variable.
, multicollinearity correct answers A condition in which two or more independent variables in
multiple regression are highly correlated with each other.
partial correlation correct answers The correlation (common variance) between an independent
variable and a dependent variable that remains after the influence of a second variable has been
removed.
multiple regression correct answers Regression analysis applied to more than one independent
variable (X1, X2, X3, and so on) and one dependent variable (Y).
variance inflation factor correct answers An index of the extent of multicollinearity in a data set.
forward selection correct answers A process of multiple regression in which a computer
algorithm sequentially adds independent variables to the regression model.
backward elimination correct answers A process of multiple regression where a computer
algorithm sequentially removes independent variables from the regression model.
stepwise multiple regression correct answers A multiple regression technique in which the order
of inclusion of the independent variables in the solution is determined according to the amount of
explained variance each independent variable can offer, and in which previously included
variables can be subsequently removed.
hierarchical multiple regression correct answers A multiple regression technique in which the
investigator specifies the order of inclusion of the independent variables in the solution.
tolerance correct answers The denominator of the variance inflation factor.
singularity correct answers A condition in which two or more independent variables in multiple
regression are perfectly correlated (r = 1.00) with each other.
standard error of the mean correct answers The numeric value that indicates the amount of error
in the prediction of a population mean based on a sample.
critical ratios correct answers The ratio or numerical result of a t test that must be met to reach a
given level of confidence when rejecting the null hypothesis.
robust correct answers Reasonably reliable results, even if assumptions are not met totally.
homogeneity of variance correct answers Equality of the variances among a set of two or more
measures.
independent samples correct answers A sample that is unrelated to a second sample. Independent
samples usually contain different subjects in each sample.
correlation correct answers (1) A numerical coefficient between +1.00 and -1.00 that indicates
the extent to which two variables are related or associated; (2) the extent to which the direction
and size of deviations from the mean in one variable are related to the direction and size of
deviations from the mean in another variable.
pearson's product moment correlation coefficient correct answers A correlation coefficient
appropriate for use on parametric data. A measure of the relationship or association between two
parametric variables symbolized by r.
coefficient correct answers A known numerical quantity used to explain or modify a variable.
scatter plot correct answers A plot of bivariate data with one variable on the X-axis and the other
on the Y-axis that produces a visual picture of the relationship between the variables.
best fit line correct answers (1) A line on a scatter plot that best indicates the relationship
between the plotted values; (2) a line on a scatter plot that balances the positive and negative
residual values so that they sum to zero.
curvilinear correct answers A plot of bivariate data where the best fit line is not straight.
residual correct answers The vertical distance from any point in a scatter diagram to the line of
best fit.
y-intercept correct answers The point at which the extension of the best fit line intercepts the Y-
axis.
bivariate regression correct answers Regression analysis applied to one independent variable (X)
and one dependent variable (Y).
regression correct answers (1) A method of predicting values on the Y variable based on a value
on one or more X variables and the relationship between the variables; (2) a statistical term
meaning prediction.
standard error of the estimate correct answers A numerical value that indicates the amount of
error in the prediction of a Y value in bivariate or multivariate regression.
homoscedasticity correct answers A condition in which the variance of the residuals of each of
the independent variables in multiple regression is equal or nearly so.
heteroscedasticity correct answers A condition in which the variances of the residuals of the
independent variables in multiple regression are not equal.
multiple correlation correct answers The simultaneous correlation between multiple independent
variables and the dependent variable.
, multicollinearity correct answers A condition in which two or more independent variables in
multiple regression are highly correlated with each other.
partial correlation correct answers The correlation (common variance) between an independent
variable and a dependent variable that remains after the influence of a second variable has been
removed.
multiple regression correct answers Regression analysis applied to more than one independent
variable (X1, X2, X3, and so on) and one dependent variable (Y).
variance inflation factor correct answers An index of the extent of multicollinearity in a data set.
forward selection correct answers A process of multiple regression in which a computer
algorithm sequentially adds independent variables to the regression model.
backward elimination correct answers A process of multiple regression where a computer
algorithm sequentially removes independent variables from the regression model.
stepwise multiple regression correct answers A multiple regression technique in which the order
of inclusion of the independent variables in the solution is determined according to the amount of
explained variance each independent variable can offer, and in which previously included
variables can be subsequently removed.
hierarchical multiple regression correct answers A multiple regression technique in which the
investigator specifies the order of inclusion of the independent variables in the solution.
tolerance correct answers The denominator of the variance inflation factor.
singularity correct answers A condition in which two or more independent variables in multiple
regression are perfectly correlated (r = 1.00) with each other.
standard error of the mean correct answers The numeric value that indicates the amount of error
in the prediction of a population mean based on a sample.
critical ratios correct answers The ratio or numerical result of a t test that must be met to reach a
given level of confidence when rejecting the null hypothesis.
robust correct answers Reasonably reliable results, even if assumptions are not met totally.
homogeneity of variance correct answers Equality of the variances among a set of two or more
measures.
independent samples correct answers A sample that is unrelated to a second sample. Independent
samples usually contain different subjects in each sample.
