As you can see, the only difference you can observe is the way in which the results and their conclusions are reported. There is no specific criterion actually. Obviously, if in your research you predict some continuous variable for example age you are forced to use a linear regression. Your email address will not be published. If you continue browsing the site, you agree to the use of cookies on this website.
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Demographic profile of india. Indicators of health. Epidemic investigation. Study designs. Closer investigation of the data reveals that Cesar Chavez Elementary went from an API score of in to an API score of in , when the school's predicted score was The observation for Chavez Elementary has very high discrepancy and relatively low leverage, because its API score was near the mean of points.
The observation for Muir Elementary has moderate discrepancy but high leverage, because its API score was among the lowest. Inspecting the discrepancy plot will show two other schools whose predicted scores were off by over 50 points, but because their API scores are closer to the mean than Muir's was, their influence on the regression model is less.
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