Consider 2 variables X and Y. The data for X has a mean of 10 and standard deviationof 3. The data for Y has a mean of 12 and standard deviation of 6. The correlationbetween X and Y is -0.4.In the fitted regression equation Y = b0 + b1 X, the b1 value is:O cannot be determined based on the information givenO-0.8O-0.2O-0.4

From the given information, sX=3, sY=6, and r=-0.4.

Answered: Consider 2 variables X and Y. The data…

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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A regression analysis was performed to predict weight (y, in kg) using height (x, in cm) among 150 children. The coefficient of determination was . Which of the following is a valid interpretation? a. For each 1-cm increase in height, weight tends to increase by about 0.32 kg b. There is no association between weight and height c. Height accounts for about 32% of the total variability in weight d. The correlation between weight and height is about 0.32
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Consider 2 variables X and Y. The data for X has a mean of 10 and standard deviation of 3. The data for Y has a mean of 12 and standard deviation of 6. The correlation between X and Y is -0.4. In the fitted regression equation Y = b0 + b1 X, the b1 value is: