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 ?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 11PPS

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