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Tiny structures in the nucleus of a cell that contain genetic material are called
Standard Errors
Measures that provide an estimation of the variability or precision of a sample statistic as an estimate of a population parameter.
Slope Coefficients
In linear regression, the numerical values that multiply the predictor variables, representing the change in the response variable for a one-unit change in the predictor.
Multicollinearity
A statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, potentially undermining the statistical validity of the model.
Independent Variables
Factors in a study or simulation that are deliberately changed to observe their impact on outcome variables.
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