BST 322 Week 4 Test Questions with Correct Answers

BST 322 Week 4 Test Questions with Correct Answers coefficient of determination - Answer-r2 linear regression - Answer-an algorithm to find a precise line of fit for a set of data regression equation - Answer-Y'= a +bX is the formula for best fiting straight line to charecterize the linear relationship between X and Y. Intercept concept - Answer- Slope - Answer-The steepness of a line on a graph Residulas - Answer-The differences between Y and Y' Least squares - Answer-Standard regression procedures standard error of estimate - Answer-(SE estimate) is an index that indictaes how wrong, on average, a predicted value of Y is expected to be. Multiple regression - Answer-An extension of simple linear regression, allows researchers to improve their predictions by using 2 or more variables to predict a dependent variable. Multiple correlation coefficient - Answer-(R) summerizes the magnitude of the relationship between a dependent variable and several independent variables, considered simultaneously. Adjusted R2 - Answer-The result when R2 is adjusted to yeild a better estimation of the population value, and sample size is taken into account in the adjustment. stimultaneous regression model - Answer-Pg 233 Hierarchical regression model - Answer-Pg 233 Independent variables are entered into the model any series of steps with the order of entry control by the researcher. Step-wise regression model - Answer-Is controversial because their walls are entered into the regression equation based on statistical rather than theoretical criteria Dummy coding - Answer-Involves creating a series of dichotomous variables that contrast members in one category with everyone else Effect coding - Answer-Similar to dummy coding except that the reference group is assigned -1 rather than zero for each newly created table Orthogonal coding - Answer-When researchers have specific hypothesis about group differences sometimes use orthogonal coding to test these differences Multicollinearity - Answer-Can occur in multiple regression analysis when the independent variable's are too highly intercorrelated Analysis of covariance (ANCOVA) - Answer-Researchers use this to make comparisons between two or more group me after statistically removing the effect of one or more variable and a dependent variable Covariate - Answer- Multivariate ANOVA (MANOVA) - Answer-Is an extension of ANOVA thet us used to test differences between 2 or more groups on two or more dependent variables simultaneously.