You run a regression analysis on a bivariate set of data (n 71). You obtain the regression equation y = 0.613x + 11.559 with a correlation coefficient of r 0.924 (which is significant at a = value (on average) for the explanatory variable will give you a value of 160 on the response variable. 0.01). You want to predict what What is the predicted explanatory value?

The average midterm score in a large statistics class was 60 with an SD of 5. The average final score in the same class was 80 with an SD of 15. The correlation coefficient between midterm and final scores was r=0.6. Using the regression line, we predict the final score of a student with a midterm score of 70 to be but this prediction is likely to be off by about Fill in the blanks, rounding each answer to one decimal point.

You run a regression analysis on a bivariate set of data (n = 51). You obtain the regression equation y=-4.028r+-18.476 with a correlation coefficient of r=-0.91 (which is significant at a = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 170 on the response variable. What is the predicted explanatory value? X = (report 3 decimals)

You run a regression analysis on a bivariate set of data (n=109). With x¯=72.2 and y¯=34.7, you obtain the regression equation                               y= - 0.898x - 42.514 with a correlation coefficient of r=-0.086. You want to predict what value (on average) for the response variable will be obtained from a value of 140 as the explanatory variable. What is the predicted response value? y =

You run a regression analysis on a bivariate set of data (n=68n=68). With ¯x=58.8x¯=58.8 and ¯y=32.8y¯=32.8, you obtain the regression equationy=2.169x+46.102y=2.169x+46.102with a correlation coefficient of r=0.124r=0.124. You want to predict what value (on average) for the response variable will be obtained from a value of 150 as the explanatory variable.What is the predicted response value?y =

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You run a regression analysis on a bivariate set of data (n=80). You obtain the regression equation y=−1.727x+23.174 with a correlation coefficient of r=−0.911 (which is significant at α=0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 130 on the response variable.What is the predicted explanatory value? x =

You run a regression analysis on a bivariate set of data (n=28). You obtain the regression equation y=3.542x+23.399 with a correlation coefficient of r=0.877 (which is significant at α=0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 10 on the response variable.What is the predicted explanatory value?x = (Report answer accurate to one decimal place.)

If you have a b of 0.56 in a regression equation, what does this mean?     For every one-unit increase in x, you get an increase of 0.56 in y     r = .31     On average, the variability of real scores around the regression line is 0.56     For every 1 standard deviation increase in x, you get an increase of 0.56 standard deviations in y

You run a regression analysis on a bivariate set of data (n = 22). With ☎ = 22.3 and y = 58.5, you obtain the regression equation y = 0.842x + 37.664 with a correlation coefficient of r = 0.897. You want to predict what value (on average) for the response variable will be obtained from a value of 180 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)