COMM 291 Chapter Notes - Chapter 6: Scatter Plot, Standard Deviation, Confounding
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COMM 291 Full Course Notes
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Comm291 - chapter 6 - correlation and linear regression. First you might say the direction of the association is important. Upper left to lower right is negative. Bottom left to upper right is positive. The second thing is to look for in a scatterplot is form. Linear, curved, or bending all over the place. Third thing is look for surprises is the strength of relationships. Look for unusual observations such as an outlier. Almost always interesting and deserves special attention. There is one variable that plays the role of the explanatory (independent) variable with is on the x-axis and the response (independent) variable on the y-axis. Correlation looks at the strength of the association standardized to a number between -1 and. The correlation coef cient can compute a measure of strength note - should be n-1 on bottom of the formula. Correlation measures the strength of the linear association between two quantitative variables.
