You run a regression analysis on a bivariate set of data (n = 71). You obtain the regression equationy=1.872x-14.113with a correlation coefficient of r = 0.851 (which is significant at a = 0.01). You want to predict whatvalue (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.)

Answered: Image /qna-images/answer/6dd6f0ef-8855-4e18-961c-120525530f19.jpg

Answered: You run a regression analysis on a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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You run a regression analysis on a bivariate set of data (n=40). With ¯x = 56.7 and ¯y = 45.8, you obtain the regression equation y=−3.352x+45.294 with a correlation coefficient of r= − 0.154. You want to predict what value (on average) for the response variable will be obtained from a value of 70 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=32). You obtain the regression equation y=4.224x+-61.908 with a correlation coefficient of r=0.74 (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 20 on the response variable. What is the predicted explanatory value? x =
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 =
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 80 mm Hg. Use a significance level of 0.05. Right Arm 100 99 93 77 77 Q Left Arm 174 168 148 148 146 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is ŷ=+x. (Round to one decimal place as needed.) mm Hg. Given that the systolic blood pressure in the right arm is 80 mm Hg, the best predicted systolic blood pressure in the left arm is (Round to one decimal place as needed.) Data table Critical Values of the Pearson Correlation Coefficient r α = 0.05 α = 0.01 0.950 0.990 0.959 0.878 0.811 0.917 0.754 0.875 0.707 0.834 0.666 0.798 0.632 0.765 0.602 0.735 0.576 0.708 0.553 0.684 0.532 0.661 0.514 0.641 0.497 0.623 0.482…
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 and obtain the regression equation y 3.176x +124.355 with a correlation coefficient of r = - 0.748. You want to predict what value (on average) for the response variable will be obtained from a value of x = 150 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=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.)
You run a regression analysis on a bivariate set of data (n = 106). You obtain the regression equation y = 4.241x – 10.085 =0.373 (which is significant at a value (on average) for the explanatory variable will give you a value of 70 on the response variable. with a correlation coefficient of r 0.01). You want to predict what What is the predicted explanatory value? X = (Report answer accurate to one decimal place.)
If the regression equation is ỹ =1.3+0.20x, and r =0.81 then the correlation is equal to O -0.09 O -0.90 O none O 0.20 O -0.20 O 0.90

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