Master this deck with 19 terms through effective study methods.
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No manipulation of the independent variable.
They consider real or naturally occurring variables.
The relationship between two variables.
They are used based on the type of data.
Variables tend to increase together.
One variable increases while the other decreases.
Correlation does not imply one variable causes changes in another.
Analyzing the relationship between one independent and one dependent variable.
Multiple regression involves two or more independent variables.
A strong positive relationship between two variables.
The proportion of variance in one variable explained by another.
Partial correlations control for the influence of additional variables.
It accounts for the variability in data not explained by the model.
An inverse relationship between the predictor and the dependent variable.
To predict a dependent variable using multiple independent variables.
The expected value of the dependent variable when all predictors are zero.
It accounts for the number of predictors, providing a more accurate measure.
The correlation may change, revealing the unique relationship between the two.
To maximize the explained variance in the dependent variable.