STAT 1000Q Lecture 2: CORRELATIONAL STATISTICS
15 Dec 2018
School
Department
Course
Professor
73
STAT 1000Q Full Course Notes
Verified Note
73 documents
Document Summary
Discovers whether there is a linear relationship between 2 or more variables and determines: Different correlation tests different types of data. Pearson"s product moment (r or r): both variables are interval or both variables are ratio. Spearman"s rho ( ): both variables are ordinal. Bi-serial (rb): combinations of all different kinds of variables. Numerical index of the strength of the relationship (how well x can predict y) Determines how much variance the two variables share (in percentages) R = 0. 9 r2 = (0. 9)2 = 0. 81, which is 81% 81% of the variation in temperature can be accounted for by the variation in the number of hours of sunshine. Tell us how x can predict y. 81% of the variation of y is due to x (always this order) How much will y change if x changes: strength & direction. Linear regression equation is used to predict the dv from the iv(s)
