determine whether there appears to be a strong correlation between x and y. b. Find the value of 10- the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (9,9) and find the correlation coefficient r and determine whether there is a linear correlation. d. What do you conclude about the possible effect from a single pair of values? Click here to view a table of critical values for the correlation coefficient,? 2. a. Do the data points appear to have a strong linear correlation? O No O Yes b. What is the value of the correlation coefficient for all 10 data points? (Simplify your answer. Round to three decimal places as needed.) Is there a linear correlation between x and y? Use a = 0.05. O A. Yes, because the correlation coefficient is not in the critical region. B. No, because the correlation coefficient is in the critical region. C. No, because the correlation coefficient is not in the critical region. Yes boonur

determine whether there appears to be a strong correlation between x and y. b. Find the value of 10- the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (9,9) and find the correlation coefficient r and determine whether there is a linear correlation. d. What do you conclude about the possible effect from a single pair of values? Click here to view a table of critical values for the correlation coefficient,? 2. a. Do the data points appear to have a strong linear correlation? O No O Yes b. What is the value of the correlation coefficient for all 10 data points? (Simplify your answer. Round to three decimal places as needed.) Is there a linear correlation between x and y? Use a = 0.05. O A. Yes, because the correlation coefficient is not in the critical region. B. No, because the correlation coefficient is in the critical region. C. No, because the correlation coefficient is not in the critical region. Yes boonur

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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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

determine whether there appears to be a strong correlation between x and y. b. Find the value of 10-
the correlation coefficient r and determine whether there is a linear correlation. c. Remove the
point with coordinates (9,9) and find the correlation coefficient r and determine whether there is a
linear correlation. d. What do you conclude about the possible effect from a single pair of values?
Click here to view a table of critical values for the correlation coefficient,?
2.
a. Do the data points appear to have a strong linear correlation?
O No
O Yes
b. What is the value of the correlation coefficient for all 10 data points?
(Simplify your answer. Round to three decimal places as needed.)
Is there a linear correlation between x and y? Use a = 0.05.
O A. Yes, because the correlation coefficient is not in the critical region.
B. No, because the correlation coefficient is in the critical region.
C. No, because the correlation coefficient is not in the critical region.
Yes boonur

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