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A medical study has proposed the following regression model that predicts a patient's heart rate during a treadmill test. [HeartRote) - 10 - 3 x ſtreadmilSpeed] + 5 x [BodyWeight) - 7 x lAge) Based on the proposed regression model, the change in which of the following affects the heart rate most (.e. causes most change in the heart rate)? treadmill speed O Age Cannot be determined based on the model information body weight

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Final answer:

The age variable affects the heart rate the most according to the proposed regression model.

Step-by-step explanation:

The proposed regression model for predicting a patient's heart rate during a treadmill test is:

Heart Rate = -10 - 3 x Treadmill Speed + 5 x Body Weight - 7 x Age

To determine which factor affects the heart rate the most, we need to analyze the coefficients. The coefficient in front of the treadmill speed is -3, the coefficient in front of age is -7, and the coefficient in front of body weight is 5.

Since the coefficient with the largest absolute value will cause the most change in the heart rate, we can conclude that age affects the heart rate the most based on the proposed regression model.

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