which value of r indicates a stronger correlation than 0.40 course hero

by Mrs. Suzanne Carroll III Published 2 years ago Updated 1 year ago 5 min read

What does R mean in statistics?

Jan 26, 2016 · 22. Which value of r indicates a stronger correlation than 0.40? A. 0.30 B. 0.80 C. +0.38 D. 0 The strength of a correlation is measured by its absolute value. So a negative or inverse correlation can be stronger than a positive one. In this case, 0.80 is stronger than 0.40.

What is a strong correlation in statistics?

Aug 07, 2015 · School University of Phoenix. Course Title STATISTICS STATISTICS. Type. Homework Help. Uploaded By. Pages 1. Ratings 93% (14) 13 out of 14 people found this document helpful. This preview shows page 1 out of 1 page. Which value of r indicates a …

What is a strong relationship between two variables?

Apr 25, 2018 · Which value of r indicates a stronger correlation than 0.40? (Points : 1)-0.30-0.80 +0.38 0

Can a correlation coefficient be greater than a scatter plot?

Dec 10, 2015 · This problem has been solved! Who are the experts? Experts are tested by Chegg as specialists in their subject area. We review their content and use your feedback to keep the …

Which value of R indicates a stronger correlation?

Which value of r indicates a stronger correlation: r = 0.807 or r = -0.856? Explain your reasoning. r = -0.856 represents a stronger correlation because |-0.856| > |0.807|.

What is a strong value of R?

The relationship between two variables is generally considered strong when their r value is larger than 0.7. The correlation r measures the strength of the linear relationship between two quantitative variables.

Is 0.83 A strong correlation?

A coefficient of correlation of +0.8 or -0.8 indicates a strong correlation between the independent variable and the dependent variable. An r of +0.20 or -0.20 indicates a weak correlation between the variables.

What does a coefficient of correlation of 0.70 infer quizlet?

It describes the relationship between two variables. What does a correlation coefficient of 0.70 infer? There is almost no correlation because 0.70 is close to 1.0. 70% of the variation in one variable is explained by the other variable.

Is 0.4 A strong correlation?

For this kind of data, we generally consider correlations above 0.4 to be relatively strong; correlations between 0.2 and 0.4 are moderate, and those below 0.2 are considered weak. When we are studying things that are more easily countable, we expect higher correlations.

Is 0.6 A strong correlation?

If we wish to label the strength of the association, for absolute values of r, 0-0.19 is regarded as very weak, 0.2-0.39 as weak, 0.40-0.59 as moderate, 0.6-0.79 as strong and 0.8-1 as very strong correlation, but these are rather arbitrary limits, and the context of the results should be considered.

Is 0.5 A strong correlation?

Correlation coefficients whose magnitude are between 0.5 and 0.7 indicate variables which can be considered moderately correlated. Correlation coefficients whose magnitude are between 0.3 and 0.5 indicate variables which have a low correlation.

What does a correlation coefficient of r 0.20 mean?

if a correlation coefficient of r = 0.20 was observed. between variable x and variable y, then the. coefficient of determination is p2=0.04. This means. that only 4% of the total variation in variable y.

Is 0.8 A strong correlation?

Correlation Coefficient = 0.8: A fairly strong positive relationship. Correlation Coefficient = 0.6: A moderate positive relationship. Correlation Coefficient = 0: No relationship. As one value increases, there is no tendency for the other value to change in a specific direction.

What does a coefficient of correlation of 0.70 imply?

Coefficient of determination is 0.49. What does a coefficient of correlation of 0.70 infer? strong. If the correlation between two variables is close to one, the association is.

What would a correlation of 0.70 be considered?

A moderate uphill (positive) relationship. +0.70. A strong uphill (positive) linear relationship.Jul 8, 2021

What does a coefficient of determination of 0.70 mean?

The coefficient of determination varies between 0 and 1: 0-0.10 indicates that there is very weak to no correlation and the model does not explain changes. 0.10-0.70 indicates weak to medium correlation. 0.70-1 indicates that there is a strong correlation between the dependent and independent variables.

What is a strong positive correlation?

Strong positive correlation: When the value of one variable increases, the value of the other variable increases in a similar fashion. For example, the more hours that a student studies, the higher their exam score tends to be. Hours studied and exam scores have a strong positive correlation. Strong negative correlation: When the value ...

Does hours studied have a positive correlation?

Hours studied and exam scores have a strong positive correlation. Strong negative correlation: When the value of one variable increases, the value of the other variable tends to decrease. For example, the older a chicken becomes, the less eggs they tend to produce. Chicken age and egg production have a strong negative correlation.

Is the correlation between college grades and job performance low?

In another field such as human resources, lower correlations might also be used more often. For example, the correlation between college grades and job performance has been shown to be about r = 0.16. This is fairly low, but it’s large enough that it’s something a company would at least look at during an interview process.

What does a Pearson correlation coefficient tell us?

But even if a Pearson correlation coefficient tells us that two variables are un correlated, they could still have some type of nonlinear relationship. This is another reason that it’s helpful to create a scatterplot.

Does chicken age have a negative correlation?

For example, the older a chicken becomes, the less eggs they tend to produce. Chicken age and egg production have a strong negative correlation. The following table shows the rule of thumb for interpreting the strength of the relationship between two variables based on the value of r: Absolute value of r.

Is 0.10 a positive or negative correlation?

A correlation of -0.97 is a strong negative correlation, while a correlation of 0.10 would be a weak positive correlation. When you are thinking about correlation, just remember this handy rule: The closer the correlation is to 0, the weaker it is, while the close it is to +/-1, the stronger it is.

What are the characteristics of correlational research?

Characteristics of correlational research: - The major characteristic of correlational research is seeking out associations among variables. Correlational studies are carried out either to help explain important human behaviors or to predict likely outcomes.

Why do we do correlational studies?

Correlational studies are carried out either to help explain important human behaviors or to predict likely outcomes. If a relationship of sufficient magnitude exists between two variables, it becomes possible to predict a score on either variable if a score on the other variable is known.

What is the variable that is used to make the prediction?

The variable that is used to make the prediction is called the predictor variable .

What is the variable about which a prediction is made?

The variable about which the prediction is made is called the criterion variable. Basic Steps in Correlational Research. These include, selecting a problem, choosing a sample, selecting or developing instruments, determining procedures, collecting and analyzing data, and interpreting results.