Math 124 Chapter 4
Math 124 Chapter 4 MATH 124
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This 2 page Class Notes was uploaded by Felicia Hyde on Saturday September 10, 2016. The Class Notes belongs to MATH 124 at San Francisco State University taught by Vera Klimkovsky in Fall 2016. Since its upload, it has received 3 views. For similar materials see Elementary Statistics in Math at San Francisco State University.
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Date Created: 09/10/16
Elementary Statistics Math 124-08 Vera Klimkovsky 21 September 2016 Chapter 4 – Scatter plots and Correlation Chapter 4 – Scatter plots and Correlation Scatter plot ( XY plot) 3 ways to describe a scatter plot: o Form: Linear or Nonlinear o Direction: Positive or Negative ( could also be neither) o Strength: Strong, Moderate, Weak Ex: Two Quantitative Variables X : Age of a car Y: Price of a car Linear Correlation (r) – the measure of strength and direction of a linear association between quantitative variables X & Y Properties of Correlation Correlation makes no distinction between explanatory and response variables Both variables should be quantitative The changing of units doesn’t affect the correlation coefficient Positive correlation (r) = positive association Negative correlation (r) = negative association Correlation = -1 ≤ r ≤ +1 ( always between -1 and 1) o If r = -1, then all points lie on a decreasing straight line o If r = 1, then all points lie on an increasing straight line o If r = 0, no positive or negative correlation ( can have pattern but not linear correlation) *ALWAYS PLOT DATA BEFORE PERFORMING ANY NUMERICAL STATISTICAL ANAYLSIS!