MAT 122 Lecture 6: Correlation and Regression
Document Summary
Correlation and regression: correlation, measuring two variables in a certain population and you want to see if they are related. You are testing to see if these two variables (cpi and subway fares) have linear correlation. That is, are they related that if the cpi increases, subway fares will also increase. sh. 00: make a scatter plot of the data. Compare the data to the 4 different types. 3- nonlinear correlation (de nitely a pattern, just not in a line) 4- no correlation (no pattern, not a straight line) When the graph from the problem is compared to these examples, we can conclude that there is positive linear correlation between cpi and subway fares. These are just a few minor changes: make the original claim that there is signi cant linear correlation (p 0, critical values are found on table a-6 in your text book. Other option for 2) t= r / [(1-r2) / (n-2)]
