Knowee
Questions
Features
Study Tools

What does r represent in correlation analysis?*1 pointConcept of regressionCorrelationCoefficient of regressionCoefficient of correlation

Question

What does r represent in correlation analysis?*1 pointConcept of regressionCorrelationCoefficient of regressionCoefficient of correlation

🧐 Not the exact question you are looking for?Go ask a question

Solution

In correlation analysis, 'r' represents the Coefficient of Correlation. This coefficient, also known as the Pearson correlation coefficient, measures the strength and direction of the linear relationship between two variables. The value of 'r' ranges from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 indicates no correlation.

Similar Questions

Recall from Week 2: Correlation Coefficient, r The Correlation coefficient, r, is a measure of the strength and direction of a linear relationship between 2 variables X and Y Ranges between –1 and 1 • The closer to –1, the stronger the negative linear relationship • The closer to 1, the stronger the positive linear relationship • The closer to 0, the weaker the linear relationship (Also called Standardised Covariance i.e. invariant to units of measure)

When the correlation coefficient, r, is close to one:*

In regression analysis, r2 is the ___.Group of answer choicescoefficient of determinationsum of the squaredestimated regression analysiscoefficient of correlation

What is the statistical method used to determine whether a relationship between variables exist?*1 pointCorrelationCoefficient of correlationConcept of regressionCoefficient of regression

If there is no relationship (linear or otherwise) between two quantitative variables as observed on a scatterplot, the value of the correlation coefficient, r, is likely to be which of the following? Closer to 1 Closer to −1 Closer to 0 Either closer to −1 or 1

1/3

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.