For these analyses the criterion variable was the the number of close friends each participant reported. The predictor variables were age, gender (male=0 female=1), marital status (0=not married 1=married), number of siblings and self esteem. The table includes the simple correlations (and p-value) of each predictor with the criterion and the multiple regession weight of each predictor and p-values) from a model including all the predictors. variable r p b p --------------------------------------------------------- constant 12.234 .004 age .071 .531 .845 .754 not contribute -- not correlated gender .386 .025 1.346 .322 not contribute -- collinearity marital status -.252 .024 6.194 .023 same mult & biv # siblings .003 .903 3.331 .015 supressor -- mult only self esteem .312 .027 -3.437 .021 supressor -- sign flip ---------------------------------------------------------- Consider the correlation and regression weight for martial status and select the correct description from below Does not contribute to the model -- probably because it of its weak relationship with the criterion variable Bivariate relationship and multivariate contribution (to this model) have the same sign, and so, similar interpretations. Is a supressor variable with a bivariate rela