6Based on the scatter plot below, what is the best guess for the value of the correlation?Y1081010.2840.965-1-0.96512 144x16182020

The scatterplot gives an idea of the relationship between the 2 variables.

Answered: Based on the scatter plot below, what…

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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Assume the correlation coefficient between advertising dollars spent and sales is .78. How much of the variability in sales is explained by the relationship between sales and advertising dollars? a. 39.16% b. 60.84% c. 78% d. 22%
Which correlation coefficient best represents data that has a strong negative correlation? -0.95 O 0.05 0.05 O 0.95
Which r is the strongest correlation? O -0.8 O-0.18 O-0.09 O 0.711 O 0.4
Find the correlation coefficient, r, for the sample data below (please round yourfinal answer to 3 digits after the decimal): x y 2 4 3 3 4 4 5 1 6 2
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.594. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Choose the correct answer below. O A. The coefficient of determination is 0.353. 64.7% of the variation is explained by the linear correlation, and 35.3% is explained by other factors. O B. The coefficient of determination is 0.647. 35.3% of the variation is explained by the linear correlation, and 64.7% is explained by other factors. O C. The coefficient of determination is 0.647. 64.7% of the variation is explained by the linear correlation, and 35.3% is explained by other factors. O D. The coefficient of determination is 0.353. 35.3% of the variation is explained by the linear correlation, and 64.7% is explained by other factors.
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Q28
Find the correlation coefficient for the data set below. x 3, 5, 6, 7, 9 y 5, 1, 9, 7, 13
answer please
Which number below is representative of the largest correlation? r = -0.75 r = .05 r = -0.45 r = 0.65
Use the output below to test to see if there is a significant positive linear relation between height and head circumference in children. Use a 5% level of significance. Correlations: Height, Head Circ Pearson correlation of Height and Head Circ 0.911 P-Value 0.000

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Based on the scatter plot below, what is the best guess for the value of the correlation? Y 10 6 10 1 14 774 22 12 0.284 0.965 -1 -0.965 • 16 18 20 X 20