vocab
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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| model | an equation or formula that simplifies and represents reality
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| linear model | a linear model is an equation of a line, need to know the variables along with their W's and their units
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| predicted value | the value of yhat for a given x-value in the data, a predicted value is found by substituting the x-value in the regression equation
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| residuals | the differences between data values and the corresponding values predicted by the regression model - or more generally values predicted by any model
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| least squares | specifies the unique line that minimizes the variance of the residuals or equivalently the sum of the squared residuals
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| regression to the mean | because the correlation is always less than 1.0 in magnitude each predicted yhat tends to be fewer standard deviations from its mean than its corresponding x was from its means which is called regression to the mean
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| regression line / line of best fit | yhat - bnot +bonex
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| slope | bone gives a value in "y-units per x-unit"
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| intercept | bnot gives a starting value in y-units, found from bnot = ybar - bonexbar
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