BST 322 Week 4 Questions and Answers
coefficient of determination - ANS-r2
linear regression - ANS-an algorithm to find a precise line of fit for a set of data
regression equation - ANS-Y'= a +bX is the formula for best fiting straight line to
charecterize the linear relationship between X and Y.
Intercept concept - ANS
Slope - ANS-The steepness of a line on a graph
Residulas - ANS-The differences between Y and Y'
Least squares - ANS-Standard regression procedures
standard error of estimate - ANS-(SE estimate) is an index that indictaes how wrong, on
average, a predicted value of Y is expected to be.
Multiple regression - ANS-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 - ANS-(R) summerizes the magnitude of the relationship
between a dependent variable and several independent variables, considered
simultaneously.
Adjusted R2 - ANS-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 - ANS-Pg 233
Hierarchical regression model - ANS-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 - ANS-Is controversial because their walls are entered into
coefficient of determination - ANS-r2
linear regression - ANS-an algorithm to find a precise line of fit for a set of data
regression equation - ANS-Y'= a +bX is the formula for best fiting straight line to
charecterize the linear relationship between X and Y.
Intercept concept - ANS
Slope - ANS-The steepness of a line on a graph
Residulas - ANS-The differences between Y and Y'
Least squares - ANS-Standard regression procedures
standard error of estimate - ANS-(SE estimate) is an index that indictaes how wrong, on
average, a predicted value of Y is expected to be.
Multiple regression - ANS-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 - ANS-(R) summerizes the magnitude of the relationship
between a dependent variable and several independent variables, considered
simultaneously.
Adjusted R2 - ANS-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 - ANS-Pg 233
Hierarchical regression model - ANS-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 - ANS-Is controversial because their walls are entered into
