QUIZ II - EXSC 520 || GRADED A+ ALREADY.
Correlation background correct answers Is used to quantify the degree of relationship, or
association, between 2 variables.
Curvilinear correct answers Plot of bivariate data where the best fit line is not straight. Is a
measure of linear relationship. The curved line represents the relationship between assumed by
pearson's coefficient. The true relationship is curvilinear and strong.
Bivariate Regression background correct answers Regression analysis applied to one
independent variable and one dependent variable.(simple linear progression).
Standard deviation residuals correct answers The vertical distance from any point in a scatter
diagram to the line of the best fit.
Bivariate regression residuals, correct answers The vertical distance to any point to the line.
Standard error of the estimate correct answers a numerical value that indicates the amount of
error in prediction of a Y value in a bivariate or multivariate regression. Interpreted as the
standard deviation of the errors, or residuals, made when predicting Y from X.
homoscedasticity correct answers an assumption of parametric inferential statistics is that the
data are normally distributed. a further assumption of regression analysis is called
Multiple regression background correct answers Regression analysis applied to more than one
independent variables(X1,2,3) and one dependent variable(Y).
Muticolinearity correct answers A condition in which two or more independent variables in
multiple regression are highly correlated with each other. It leads to 2 correlated problems.
Variance inflation factor correct answers (VIF), an index of extent of multicollinearity in a data
set . Indices that help us to calculate quantify the amount of multicollinearity in the data.
Tolerance correct answers The denominator of the variance inflation factor(VIF).
T TEST, correct answers we compare a single sample mean against the mean from a known
population value. It is the technique by which we perform this analysis. The T test is useful for
conducting experimental research. The t test may be modified to make comparison between
observed proportions (pag 172).
INDEPENDENT TEST, correct answers in which we compare the means from two independent
samples.
DEPENDENT T TEST, correct answers in which two means that come from correlated samples
are compared.
Correlation background correct answers Is used to quantify the degree of relationship, or
association, between 2 variables.
Curvilinear correct answers Plot of bivariate data where the best fit line is not straight. Is a
measure of linear relationship. The curved line represents the relationship between assumed by
pearson's coefficient. The true relationship is curvilinear and strong.
Bivariate Regression background correct answers Regression analysis applied to one
independent variable and one dependent variable.(simple linear progression).
Standard deviation residuals correct answers The vertical distance from any point in a scatter
diagram to the line of the best fit.
Bivariate regression residuals, correct answers The vertical distance to any point to the line.
Standard error of the estimate correct answers a numerical value that indicates the amount of
error in prediction of a Y value in a bivariate or multivariate regression. Interpreted as the
standard deviation of the errors, or residuals, made when predicting Y from X.
homoscedasticity correct answers an assumption of parametric inferential statistics is that the
data are normally distributed. a further assumption of regression analysis is called
Multiple regression background correct answers Regression analysis applied to more than one
independent variables(X1,2,3) and one dependent variable(Y).
Muticolinearity correct answers A condition in which two or more independent variables in
multiple regression are highly correlated with each other. It leads to 2 correlated problems.
Variance inflation factor correct answers (VIF), an index of extent of multicollinearity in a data
set . Indices that help us to calculate quantify the amount of multicollinearity in the data.
Tolerance correct answers The denominator of the variance inflation factor(VIF).
T TEST, correct answers we compare a single sample mean against the mean from a known
population value. It is the technique by which we perform this analysis. The T test is useful for
conducting experimental research. The t test may be modified to make comparison between
observed proportions (pag 172).
INDEPENDENT TEST, correct answers in which we compare the means from two independent
samples.
DEPENDENT T TEST, correct answers in which two means that come from correlated samples
are compared.
