The researchers decide to use simple linear regression to obtain a regression equation that would allow them to predict how many meals would be eaten according to a preference for exotic foods. The following regression equation is obtained: Y = 2.185 + 0.523X How many meals would someone be predicted to eat if they obtain a score of 3.8 on food preference ?
The researchers decide to use simple linear regression to obtain a regression equation that would allow them to predict how many meals would be eaten according to a preference for exotic foods. The following regression equation is obtained: Y = 2.185 + 0.523X How many meals would someone be predicted to eat if they obtain a score of 3.8 on food preference ?
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.4: Linear Regression
Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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The researchers decide to use simple linear regression to obtain a regression equation that would allow them to predict how many meals would be eaten according to a preference for exotic foods. The following regression equation is obtained:
Y = 2.185 + 0.523X
How many meals would someone be predicted to eat if they obtain a score of 3.8 on food preference ?
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