STAT 2507 Lecture Notes - Lecture 4: Standard Deviation, Dependent And Independent Variables, Covariance
11 Oct 2015
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Stat 2507 chapter 3: describing bivariate data. Salaries substantially higher for full professors in faculty of science, but there is very little difference at lower 2 ranks. Graphs for qualitative variables: *graph in lecture slide* Arts faculties have fewer full professors & more associate professors than science faculties. When both of the variables are quantitative, call 1 variable x & the other y: single measurement is a pair of #s (x, y) that can be plotted using a 2-d graph called a scatterplot. What pattern or form do you see: straight line upward or downward, curve or no pattern at all. How strong is the pattern: strong, moderate, or weak. Are there any unusual observations: clusters or outliers. Assume that 2 variables x & y exhibit linear pattern or form. There are 2 numerical measures: strength & direction of relationship b/w x & y, form of relationship.
