Correlation and regression Log. Reg

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Correlation and regression Log. Reg Lesson 7 Correlation and regression Log. Reg

Inferential Statistics Correlation = In statistics, dependence is any statistical relationship between two random variables or two sets of data. Correlation refers to any of a broad class of statistical relationships involving bidirectional dependence. (2 variables are associated: perfect positive +1, perfect negative -1); Regression = measure as independent variables (predictors) associated with the dependent variable are better Index: r (regression) small effect >.10; medium effect >.30; large effect >.50

Openness to experience Eg. Correlation more/more; more/less *** = P<.001 **=.01 *=.05 you have to look minus /plus -/+ and stars/asterisk Variable Self Concept Clarity Extraversion Emotional stability Openness to experience Educational identity Commitment .12** -.09* .21** -.06 Exploration in Depth .11*** -.11** .16**

Openness to experience Integration with linear regression Table: Standardized Betas and Proportion Explained Variance for the Regression Analyses of SCC, emot. stab. and personality on Identity (Correlation) cons/pros variance Variable Self Concept Clarity Extraversion Emotional stability Openness to experience Commitment .11** (.02) .16** (.13**) .22** (.16*) (.22**) Exploration in Depth -.21** (-.18**) -.08* (-.01) -.25** (-.14**) .14** (.23**) Total R2 .03** .06** .08**

LOGISTIC REGRESSION In statistics, logistic regression, or logit regression, or logit model is a regression model where the dependent variable (DV) is categorical/dummy. logistic regression predicts the probability of particular outcomes

e.g. LOG REG Note: *p<.05. **p<.01. ***p<.001. Would you be willing to spend more to be in a eco-friendly accommodation? Coeff B Sig. Exp(B) Gender (ref females) Males .619 .019* 1.857 Class age (ref adults) Young people -.776 .003** .460 Constant 1.175 .000*** 3.239 Case numbers 374