How would the value of the correlation coefficient chang if the car weights were recorded in kilograms, rather tha pounds? The value of the correlation coefficient would increase. O The value of the correlation coefficient would decrease. The value of the correlation coefficient would not change. The value of the correlation coefficient could increas or decrease, depending on the new scatterplot.

How would the value of the correlation coefficient chang if the car weights were recorded in kilograms, rather tha pounds? The value of the correlation coefficient would increase. O The value of the correlation coefficient would decrease. The value of the correlation coefficient would not change. The value of the correlation coefficient could increas or decrease, depending on the new scatterplot.

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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The following statement contains an error. Choose the statement that best explains the error. "The correlation between shoe size and height is 0.87 inches" A. Correlation requires that both of the variables be categorical B. When stating the correlation coefficient, one must state whether it is a positive or negative relationship C. This statement does not tell us whether or not shoe size is correlated with height D. When reporting correlation, one does not report units because correlation has no units E. There is no error in this statement
A random sample of college students was surveyed about how they spend their time each week. The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week. The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows: Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to the…
What does the sign and actual number tell you in a correlation?
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At question c it reads - competitor number 14(row12)
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Which of the following correlations indicates the strongest relationship or association and why? r = .10; r = .03; r = -.35; r = -15
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