You run a regression analysis on a bivariate set of data (n = 106). You obtain the regression equationy = 4.241x – 10.085=0.373 (which is significant at avalue (on average) for the explanatory variable will give you a value of 70 on the response variable.with a correlation coefficient of r0.01). You want to predict whatWhat is the predicted explanatory value?X =(Report answer accurate to one decimal place.)

Answered: Image /qna-images/answer/fcd23871-ffc7-4786-924f-0c191ccea542.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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Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r= - 0.884 Calculate the coefficient of determination. (Round to three decimal places as needed.)
For variables X and Y we have that the correlation between them is 0.9. Also the standard deviation of Y is 8, while the standard deviation of X is 2. What is the slope of the regression equation that attempts to predict Y from X? Use two decimal places in your answer. Your Answer:
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 =
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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
12 A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=5.531 b=23.45 r2=0.378225 r=0.615 Use this to predict the final exam score of a student who studies 8.5 hours per week, and please round your answer to a whole numbe
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.)

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