You run a regression analysis on a bivariate set of data (n = 101). You obtain the regression equation y = 4.436x - 29.838 with a correlation coefficient of r = 0.908 (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 30 on the response variable. What is the predicted explanatory value? X = (Report answer accurate to one decimal place.)
You run a regression analysis on a bivariate set of data (n = 101). You obtain the regression equation y = 4.436x - 29.838 with a correlation coefficient of r = 0.908 (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 30 on the response variable. What is the predicted explanatory value? X = (Report answer accurate to one decimal place.)
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 5E
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Transcribed Image Text:You run a regression analysis on a bivariate set of data (n = 101). You obtain the regression equation
Y = 4.436x 29.838
with a correlation coefficient of r = 0.908 (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 30 on the response variable.
What is the predicted explanatory value?
X =
(Report answer accurate to one decimal place.)
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