- the best-fit-line on a scatter diagram is a line that lies closer to the data points than any other possible line ( according to a standard statistical measure of closeness)
- predictions with best-fit lines
- don't expect a best-fit line to give a good prediction
- a best fit line based on past data is not necessarily calid now and might not result in valid predictions of the future
- dont make predictions about a population that is different from the population from which the sample data were drawn
- valid predictions?
- youve found a best-fit line for a correlation between the number of hours per day that people excercise and the number of calories they consume each day. You used this correlation to predict that a person who excercises 18 hours per day
- no one excercises 18 hours a day
- bes fit lines nd r^2 - the square of the correlation coefficent, or r^2, is the proportion of the variation in a variable that is accounted for by the best-fit line
- the coefficent of derermination represents
- the coefficent determination represents the percent of the data that is the closest to the line
- political scientists are interested in knowing what factors affect voter turnout in elections/ One such factor is the unemployment .
- the square of the correlation coefficients is r^2
Thursday, November 3, 2016
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