Statistics, multiple choice, correlation coefficient

In summary, statistics is a branch of mathematics that involves analyzing and interpreting data using various methods. A multiple choice question is a type of question where respondents choose from a list of options. The correlation coefficient is calculated by dividing the covariance of two variables by their standard deviations. A correlation coefficient value of 0 indicates no linear relationship between variables. Correlation coefficients can range from -1 to 1, with 0 indicating no correlation, -1 indicating a perfect negative correlation, and 1 indicating a perfect positive correlation. A value close to 0 indicates a weak or no relationship between variables.
  • #1
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Homework Statement


The correlation coefficient for each of two data sets is calculated. Set A has r = -0.75 while Set B has r = +0.55. Which set (A or B) has the stronger strength of relationship?


Homework Equations

I think -0.75?



The Attempt at a Solution



I think Set A r = -.75 is stronger because it is closer to -1
 
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  • #2
Sounds good to me.
 

Related to Statistics, multiple choice, correlation coefficient

1. What is statistics?

Statistics is a branch of mathematics that involves collecting, analyzing, and interpreting data. It helps us understand and make sense of large amounts of data by using various techniques and methods.

2. What is a multiple choice question?

A multiple choice question is a type of question where the respondent is given a list of options and is asked to choose the correct answer from those options. It is commonly used in exams, surveys, and assessments.

3. How is correlation coefficient calculated?

The correlation coefficient is a measure of the strength and direction of the relationship between two variables. It is calculated by dividing the covariance of the two variables by the product of their standard deviations.

4. What does a correlation coefficient value of 0 indicate?

A correlation coefficient value of 0 indicates that there is no linear relationship between the two variables. This means that changes in one variable do not affect or predict changes in the other variable.

5. How can correlation coefficients be interpreted?

Correlation coefficients range from -1 to 1, with 0 indicating no correlation, -1 indicating a perfect negative correlation, and 1 indicating a perfect positive correlation. The closer the value is to 1 or -1, the stronger the relationship between the variables. A value close to 0 indicates a weak or no relationship.

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