STAB22H3 Study Guide - Midterm Guide: Dependent And Independent Variables, Linear Regression, Histogram
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STAB22H3 Full Course Notes
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Document Summary
Read lectures 1-6, chapters 1-9 and 12-15 from the textbook. Do the assigned exercises from the textbook. Example: for given stemplot find a five-number summary, range, standard deviation. Example: an english placement examination is given to 900 incoming students. The distribution of examination scores is approximately normal with a mean of. Linear regression: scatterplot: overall pattern (form, direction, and strength of the relationship), outliers, clusters, association. Positively or negatively associated: correlation, regression line: . How to interpret slope , intercept : how to use regression line for prediction, extrapolation, coefficient of determination, residuals/residual plots, ourliers vs influential observations, transformations. Example: a long jump competition took place recently at a local high school. The coach is interested in performing as well as possible next time, so he is looking at the relationship between height and distance jumped (both measured in inches). The least square solution is: intercept = 6. 4285; and slope = 1. 0534.
