Table 1 Descriptive statistics and a summary of zero-order correlations and regression values for the Dark Triad (predictor variables) and chronotype (outcome variable). r ẞ (t) M (SD) Dark Triad -.14* [-.23**] 0.00 (0.80) Narcissism -.04 [-.05] .04 (0.60) 0.34 (0.18) Entitlement/ -.20** [-.36**] -.24 (-3.33**) 0.19 (0.26) exploitativeness Grandiose exhibitionism -.05 [.07] -.05 (-0.69) 0.30 (0.26) Leadership/authority .05 [.07] .18 (2.29*) 0.40 (0.26) Psychopathy -.13* [-.18**] -.09 (-1.05) 142.56 (27.99) Primary -.07 [-.11] .16 (-1.07) 75.16 (16.57) Secondary -.18** [-.26**] -.20 (-2.63**) 67.40 (14.54) Machiavellianism -.14* [-.23**] -.09 (-1.07) 75.16 (16.57) *p < .01, **p < .001, '-' denote variables not included in the regression. Correlations in brackets are the disattenuated values using the reliability for the scales. 1. turn your attention to Table 1 in Jonason et al. (2013). The first column represents the correlation between the chronotype index and dark traits while the second column represents the associated regression coefficient. According to Table 1,what dark traits were not significantly associated with the chronotype at 1%? Interpret the regression coefficient associated with entitlement/exploitativeness

In an OLS regression, which value represents the "best" R2 in terms of explained variance in the dependent variable?  A. 2.53 B. 16.22 C. .001 D. 0.53

5.2 42 The following regression shows the impact of the number of rooms (ROOM) on the monthly rent of an apartment (in thousand Rands) (RENT) from a sample of 42 randomly chosen apartments in Parow: Dependent Variable: RENT Variable C ROOM r-square: 0.7180 Parameter -0.7705 2.1331 SE of regression: 2.3397 Std. Error 0.8233 0.2114 sample size = 42 What will be values of the parameters, variance and standard errors of the parameters, estimated variance of error terms, coefficient of determination and correlation coefficient, if RENT is measured in Rands and there is no change to the unit of measurement of the ROOM variable?

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