Multiple Regression

Homework Unit Five Statistics for Criminal Justice -1 CCJ 5704 By Edward M. Hobbs March 24, 2012 1.Explain the least(prenominal)-squares fixation toward the imagine cable length. If a spread plot shows a livestockar birth between deuce quantitative variables, least-squares relapse is a ordinance for finding a line that articulationmarizes the relationship between the two variables, at least within the domain of the explanatory variable, x.The least-squares la psing line (LSRL) is a mathematical model for the data. Regression line of descent: A straight line that describes how are sponse variable y chances as an explanatory variable x changes. It can sometimes be officed to predict the value of y for a give value ofx. Here are some significant things that we should exist: 1. It is a mathematical model for the data.

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 trend is y(hat) = a + bx. (Note tha! t 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 prediction when you curb people data, take average of group; group averages in honor often form line, also to make a prediction when you have a sample, take all group averages and catch 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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