In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of a second. The results are presented in the following table. The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions of the linear model are satisfied. The regression equation is Auditory = 240.686515 + 0.109829 Visual Predictor Coef SE Coef T P Constant 240.686515 14.271226 16.865161 0.000073 Visual 0.109829 0.066275 1.657159 0.172829 What is the intercept of the least-squares regression line?

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of a second. The results are presented in the following table. The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions of the linear model are satisfied. The regression equation is Auditory = 240.686515 + 0.109829 Visual Predictor Coef SE Coef T P Constant 240.686515 14.271226 16.865161 0.000073 Visual 0.109829 0.066275 1.657159 0.172829 What is the intercept of the least-squares regression line?

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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