You run a regression analysis on a bivariate set of data ( 18). You obtain the regression equation n y = 3.057x - 27.697 with a correlation coefficient of r = 0.975 (which is significant at a = (on average) for the explanatory variable will give you a value of 140 on the response variable. 0.01). You want to predict what value What is the predicted explanatory value?

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.)

You run a regression analysis on a bivariate set of data (n = 120). With i = 66.3 and y = 50.6, you obtain the regression equation y = 4.097x – 11.636 with a correlation coefficient of r = 0.56. You want to predict what value (on average) for the response variable will be obtained from a value of 120 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)

You run a regression analysis on a bivariate set of data (n = 89). With a = 35.4 and y = 53.5, you obtain the regression equation %3D y = 3.651x – 38.171 0.1. You want to predict what value (on average) for the %3D - with a correlation coefficient of r = response variable will be obtained from a value of 110 as the explanatory variable. What is the predicted response value? y%3D

You run a regression analysis on a bivariate set of data (n=15). You obtain the regression equationy=2.339x+22.015 with a correlation coefficient of r=0.886 (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 150 on the response variable.What is the predicted explanatory value?x = (Report answer accurate to one decimal place.)

Please help me  with this problem using the TI 84 You run a regression analysis on a bivariate set of data (n=85n). With ¯x=21.3 and ¯y=25.4, you obtain the regression equation y=−3.558x+48.067 with a correlation coefficient of r=−0.022. 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 =

You run a regression analysis on a bivariate set of data (n=105). With x=77.7 and y=42.3, you obtain the regression equation y=2.959x−1.146 with a correlation coefficient of r=0.093. You want to predict what value (on average) for the response variable will be obtained from a value of 190 as the explanatory variable.What is the predicted response value?y = (Report answer accurate to one decimal place.)