12 online quiz study - CHAPTER 12 On a graph of a Pearson's...

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CHAPTER 12 On a graph of a Pearson’s r of .87, - the data points will fall close to the regression line Error in prediction means - the difference between what was predicted and what actually happened When graphing a regression line, we do not plot the Y -intercept because - numbers skipped on either the X- or Y-axis will distort the Y-intercept When data are entered into SPSS, the output for regression analysis will tell us - all of these are true ____ is the symbol for___. -standard error of the estimate With a positive Pearson’s r, the slope of the regression line will be ___. - positive When Pearson’s r is 1.00, error will be equal to - 0 Error in prediction can be thought of as - the standard deviation of predicted values When Pearson’s r is -1.00, error will be equal to - 0 Linear regression can be explained as - all of these are true
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Unformatted text preview: The slope of the regression line is symbolized by ___.- b Prior to the prediction equation, we should calculate ___.- r obt The point at which the regression line crosses the Y-axis, also known as the Y-intercept, is symbolized by ___.- a If two variables are correlated, - prediction of one variable from another is reasonable. The regression line formula is ___.- Y’= bX + a The simplest way to place a regression line on a scatterplot is to- predict Y-values based on two X-values from the X-axis If Pearson’s r is -1.00, prediction will be- strong Multiple regression is used when we have- more than one predictor in an equation In the prediction equation, which symbol is not replaced with a value until we predict a value on Y?- X Which of the following is not needed when calculating error?-b...
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