Based on an observational study, a clinical psychologist finds that the relationship between the number of weeks spent in a therapy hospital and number of seizures per week can be described by the following equation: seizures per week = 14.09 - 0.91 x weeks in hospital The R2 for this model is 0.90, and you can assume that all of the conditions for linear regression to be valid have been met. Suppose that you use this model to predict the number of seizures per week for a patient who has been at the hospital for 20 weeks. What is the predicted number of seizures per week for that patient?
Based on an observational study, a clinical psychologist finds that the relationship between the number of weeks spent in a therapy hospital and number of seizures per week can be described by the following equation: seizures per week = 14.09 - 0.91 x weeks in hospital The R2 for this model is 0.90, and you can assume that all of the conditions for linear regression to be valid have been met. Suppose that you use this model to predict the number of seizures per week for a patient who has been at the hospital for 20 weeks. What is the predicted number of seizures per week for that patient?
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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Based on an observational study, a clinical psychologist finds that the relationship between the number of weeks spent in a therapy hospital and number of seizures per week can be described by the following equation:
seizures per week = 14.09 - 0.91 x weeks in hospital
The R2 for this model is 0.90, and you can assume that all of the conditions for linear regression to be valid have been met. Suppose that you use this model to predict the number of seizures per week for a patient who has been at the hospital for 20 weeks. What is the predicted number of seizures per week for that patient?
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