The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. y 10 100 a. Construct a scatter plot for these data. Based on the scatter plot, how would you describe the relationship between the two variables? b. Compute the correlation coefficient. 15 140 11 110 13 130 14 150 11 120 15 170 12 140 a. Which graph below shows a scatter plot for these data? OA. В. OC. O D. Q 15- 180- 180- 15- Q 10- 10- 180 10 10 180 There appears to be linear relationship between x and y. b. What is the correlation coefficient? r= (Round to two decimal places as needed.)
The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. y 10 100 a. Construct a scatter plot for these data. Based on the scatter plot, how would you describe the relationship between the two variables? b. Compute the correlation coefficient. 15 140 11 110 13 130 14 150 11 120 15 170 12 140 a. Which graph below shows a scatter plot for these data? OA. В. OC. O D. Q 15- 180- 180- 15- Q 10- 10- 180 10 10 180 There appears to be linear relationship between x and y. b. What is the correlation coefficient? r= (Round to two decimal places as needed.)
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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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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