The solution to this problem is given by
14) Fill in the Blank. You run a regression analysis on a bivariate set of data...
You run a regression analysis on a bivariate set of data ( n =
41 ). With ¯ x = 41.6 and ¯ y = 31.1 , you obtain the regression
equation y = − 2.748 x + 61.522 with a correlation coefficient of r
= − 0.011 . You want to predict what value (on average) for the
response variable will be obtained from a value of 10 as the
explanatory variable. What is the predicted response value?
You...
You run a regression analysis on a bivariate set of data (n = 50). With 7 = 40.2 and y = 41.8, you obtain the regression equation y = -2.644x - 46.854 with a correlation coefficient of r = -0.214. You want to predict what value (on average) for the response variable will be obtained from a value of 110 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 = 53). With i = 46.8 and y = 46.4, you obtain the regression equation y=2.435x + 16.465 with a correlation coefficient of r = 0.413. 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? (Report answer accurate to one decimal place.) License Points possible: 1 liited...
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You run a regression analysis on a bivariate set of data (n = 108). With z = 27.5 and у = 67.4, you obtain the regression equation y 0.488z 33.947 with a correlation coefficient of r = 0.076. 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? (Report answer accurate to one decimal place.)
You run a regression analysis on a bivariate set of data (n obtain the regression equation 104). With 23.2 and 22.9, you y #-2.192x-31.067 with a correlation coefficient of r-0.181. You want to predict what value (on average) for the response variable will be obtained from a value of 160 as the explanatory variable. What is the predicted response value? (Report answer accurate to one decimal place.) License Points possible: 2 This is attempt 1 of 3. Submit po clin...
You run a regression analysis on a bivariate set of data (n = 40). With 7 = 54.4 and y = 25.7, you obtain the regression equation y = 1.034x + 54.019 with a correlation coefficient of r = 0.628. You want to predict what value (on average) for the response variable will be obtained from a value of 40 Is the explanatory variable. What is the predicted response value? y -
ou run a regression analysis on a bivariate set of data (n=65n=65). You obtain the regression equationy=−1.915x+−54.061y=-1.915x+-54.061with a correlation coefficient of r=−0.626r=-0.626 (which is significant at α=0.01α=0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 30 on the response variable.What is the predicted explanatory value?x = _______
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 38.6 51.4 55.1 86.4 32.9 33.6 24.4 23.8 27 56.6 22.5 26.6 15 34.8 23.2 28.2 22.9 24.4 14 -6.5 40.2 81.2 36.4 48 Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 4.4 on the response variable. What is...
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 60.7 0.1 53.2 40.1 62 23.3 61.1 14.4 75.5 11.9 72 11.1 64.9 20.5 114.5 -24.7 92.4 -13.6 80.9 -1.7 82.8 -13.4 75.5 6.8 60.1 14.3 43.2 30.5 Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 13.8 on the...
- Linear Regression and Correlation Kamal Hamid 15 You run a regression analysis on a bivariate set of data (n 73). You obtain the regression equation = 1.5422+-1.366 with a correlation coefficient of r = 0.45 (which is signifi average) for the explanatory variable will give you a value of 80 on the res cant at α = 0.01). You want to predict what value (on What is the predicted explanatory value? Run a regression analysis on the following bivariate...