PSYC3010 Lecture Notes - Lecture 6: Linear Regression, Analysis Of Covariance, Pearson Product-Moment Correlation Coefficient

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5 Aug 2018
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Lecture 6 correlation and bivariate regression ancova. Correlational research: determines causation through manipulation of ivs in controlled setting, assessing effect on dv. *use of anova does not automatically mean that your data is experimental. Do(cid:374)(cid:859)t (cid:272)o(cid:374)fuse statisti(cid:272)al (cid:894)anova (cid:448)s. regressio(cid:374)(cid:895) a(cid:374)d desig(cid:374) (cid:894)correlatio(cid:374)al (cid:448)s. e(cid:454)peri(cid:373)e(cid:374)tal(cid:895) issues. Is there a relationship between: number of social events attended per month (x) and life satisfaction, measured on 9-point scale (y) Covariance: average cross-product of the deviation scores: positive values positive relationship, negative values negative relationship. 1- 9 rating scale: covariance = 5. 89 (53 / 9) 3 - 27 rating scale: (triple all scores) covariance = 17. 69 (159 / 9: need scale information to interpret strength of association cannot directly compare covariances that are based on different scales. Quantifying correlation correlation between two variables = covariance relative to their standard deviations average cross-product of their standard scores.

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