Ch_ 3 Student Notes - South Miami Senior High School
... Ex: Until a scandal at the 2002 Olympics brought change, figure skating was scored by judges on a scale from 0.0 to 6.0. The scores were often controversial. We have the scores awarded by two judges, Pierre and Elena, for many skaters. How well do they agree? We calculate that the correlation betwee ...
... Ex: Until a scandal at the 2002 Olympics brought change, figure skating was scored by judges on a scale from 0.0 to 6.0. The scores were often controversial. We have the scores awarded by two judges, Pierre and Elena, for many skaters. How well do they agree? We calculate that the correlation betwee ...
General Linear Models (GLM)
... mathematical basis for our discussion of the analysis of variance. Also note that this serves only as an example. Many linear models could be formulated for the two-factor experiment. ...
... mathematical basis for our discussion of the analysis of variance. Also note that this serves only as an example. Many linear models could be formulated for the two-factor experiment. ...
Slide 1
... N.B. 0.008 may look very small but represents: The DECREASE in LDL achieved for each increase in one unit of age i.e. ONE year ...
... N.B. 0.008 may look very small but represents: The DECREASE in LDL achieved for each increase in one unit of age i.e. ONE year ...
Logistic Regression - Virgil Zeigler-Hill
... To predict an outcome variable that is categorical from predictor variables that are continuous and/or categorical Used because having a categorical outcome variable violates the assumption of linearity in normal regression The only “real” limitation for logistic regression is that the outcome varia ...
... To predict an outcome variable that is categorical from predictor variables that are continuous and/or categorical Used because having a categorical outcome variable violates the assumption of linearity in normal regression The only “real” limitation for logistic regression is that the outcome varia ...
Lab Instructions - University of Alberta Statistics Center
... The Distances group includes Mahalanobis (a measure of the distance of a case from the means of all of the explanatory variables; this measure provides an indication of whether or not an observation is an outlier with respect to the explanatory variable values), Cook’s (measures overall influence, t ...
... The Distances group includes Mahalanobis (a measure of the distance of a case from the means of all of the explanatory variables; this measure provides an indication of whether or not an observation is an outlier with respect to the explanatory variable values), Cook’s (measures overall influence, t ...
Interaction (statistics)
In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the simultaneous influence of two variables on a third is not additive. Most commonly, interactions are considered in the context of regression analyses.The presence of interactions can have important implications for the interpretation of statistical models. If two variables of interest interact, the relationship between each of the interacting variables and a third ""dependent variable"" depends on the value of the other interacting variable. In practice, this makes it more difficult to predict the consequences of changing the value of a variable, particularly if the variables it interacts with are hard to measure or difficult to control.The notion of ""interaction"" is closely related to that of ""moderation"" that is common in social and health science research: the interaction between an explanatory variable and an environmental variable suggests that the effect of the explanatory variable has been moderated or modified by the environmental variable.