LINB29H3 Lecture Notes - Lecture 10: Negative Relationship, Confidence Interval, Univariate

• School: UTSC
• Department: Linguistics
• Course: LINB29H3
• Professor: Philip Joseph Monahan

Document Summary

Univariate vs multivariate: univariate: 1 independent variable with 2 or more levels, multivariate: 2+ independent variables. It(cid:859)s al(cid:449)a(cid:455)s a good idea to plot data. Report you results: state correlation direction and strength, provide r and r2. State the slope as it relates to the experiment. Ex: pearson: (cid:862)the le(cid:374)gths of (cid:449)o(cid:396)ds i(cid:374) lette(cid:396)s a(cid:374)d the (cid:396)ea(cid:272)tio(cid:374) ti(cid:373)es i(cid:374) the e(cid:454)pe(cid:396)i(cid:373)e(cid:374)t (cid:272)o(cid:396)(cid:396)elate highly positively with each other: r=0. 934; r2 = 0. 872. This correlation is significant: t = 11. 07, df. A linear regression shows that every additional letter increases the rt by approx. 10. 3ms: ke(cid:374)dall(cid:863) the lengths of the words in letters and the rts in the experiment correlate highly positi(cid:448)el(cid:455) (cid:449)ith ea(cid:272)h othe(cid:396): = (cid:1004). (cid:1012)(cid:1005)(cid:1013), z=5. (cid:1004)5, p