SOC202H1 Lecture Notes - Lecture 10: 2Degrees, Null Hypothesis, Scatter Plot
Document Summary
27 march 2017: scatterplots, linear regressions, pre for linear regression, pearson"s r a measure of correlation. Interval-ratio data can be used as true data, enables the widest use of mathematical operations. We can make the most detailed statements about statistical association when we have this level of measurement. We also the best tools for visualizing associations when we"re working with interval- ratio level data the scatterplot (scattergram) Key things to look for in a scatterplot: form (linear, curved, no pattern, clusters, outliers (deviation from the overall form), non-linear. J-shape or exponential form: u-shape or quadratic form (e. g. iv=age and dv=leisure time, distinct clusters. A linear equation is the tool for formally expressing the relationship as a scatterplot. Deterministic relationship: all observations fall perfectly along the straight line. Absent a determinist relationship, we must choose a line that minimizes the squared distances of all observations" points to the line.
