2. It is the line that makes the sum of the squares of the residuals as small as possible. 3. The point x-y is on the line, where x is the mean of the x values, and y is the mean of the y values. 4. Its tr! end is y(hat) = a + bx. (Note that b is slope and a is the y-intercept.) 5. b = r(sy/sx). (On the regression line, a change of one standard deviation in x corresponds to a change of standard deviation y. 6. a = y - bx. 7. The slope b is the approximate change in y when x increases by 1. 2. How do you use the regression line for prognostic? To make a prescience when you curb universe of discourse data, take average of group; group averages in loyalty often form line, also to make a prediction when you have a sample, take all group averages and seize on in a line of best fit; use line to predict....If you want to get a full essay, order it on our website: OrderCustomPaper.com
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