## Is 0.3 A possible R value?

Correlation coefficient values below 0.3 are considered to be weak; 0.3-0.7 are moderate; >0.7 are strong.

## Is 0.6 A possible R value?

There is quite a bit of scatter, but there are many observations, and there is a clear linear trend.

Describing Correlation Coefficients.
Correlation Coefficient (r) Description (Rough Guideline )
+0.6 to 0.8 Strong + association
+0.4 to 0.6 Moderate + association
Apr 21, 2021

## Which of these R values represent the strongest correlation?

-0.85
Answer: -0.85 (Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others.

## Which are value represents the weakest correlation?

-0.15
(a) -0.15 represents the weakest correlation.

## Which of the following is not a possible value of the correlation coefficient?

The possible range of values for the correlation coefficient is -1.0 to 1.0. In other words, the values cannot exceed 1.0 or be less than -1.0. A correlation of -1.0 indicates a perfect negative correlation, and a correlation of 1.0 indicates a perfect positive correlation.

## What is R vs r2?

R: The correlation between the observed values of the response variable and the predicted values of the response variable made by the model. R2: The proportion of the variance in the response variable that can be explained by the predictor variables in the regression model.

## Which of the following R values indicates the weakest relationship between two variables?

An r of +0.20 or -0.20 indicates a weak correlation between the variables. For example, Definition: linear correlation coefficient. A correlation coefficient is a number between -1 and 1 that tells you the strength and direction of a relationship between variables.. 2.3. 1 The strongest correlation is -0.8.

## Which R value represents the strongest correlation quizlet?

When the r value is closer to +1 or -1, it indicates that there is a stronger linear relationship between the two variables. A correlation of -0.97 is a strong negative correlation, while a correlation of 0.10 would be a weak positive correlation.

## Which correlation is the weakest among 4?

The weakest linear relationship is indicated by a correlation coefficient equal to 0. A positive correlation means that if one variable gets bigger, the other variable tends to get bigger.

## Which value of R represents data with a strong negative linear correlation?

−1
Strong positive linear relationships have values of r closer to 1. Strong negative linear relationships have values of r closer to −1 . Weaker relationships have values of r closer to 0.

## What does the R value indicate in Pearson correlation quizlet?

The Pearson correlation coefficient, r, can take a range of values from +1 to -1. A value of 0 indicates that there is no association between the two variables. A value greater than 0 indicates a positive association; that is, as the value of one variable increases, so does the value of the other variable.

## Which are value represents the strongest negative correlation?

-1.0
Negative correlation is a relationship between two variables in which one variable increases as the other decreases, and vice versa. In statistics, a perfect negative correlation is represented by the value -1.0, while a 0 indicates no correlation, and +1.0 indicates a perfect positive correlation.

## What does the sample correlation coefficient r measure which value indicates a stronger correlation r 0.918 or R − 0.932 explain your reasoning?

So the absolute value off zero 0.918 is 0.918 on the absolute value off negative 0.932 is 0.932 And now we see that the second value off our has a greater absolute value, which, which means it has a new indication off a stronger correlation between two variables.

## What are the possible range of values in correlation analysis quizlet?

The correlation coefficient, r, is a measure of the strength of a correlation. Its value can range only from -1 to 1.

## When would you use Pearson correlation to analyze quizlet?

When do you use Pearson’s (r) correlation? Pearson’s correlation is (most common correlation co-efficient) used when you want to find a linear relationship between two quantitative variables. . Providing assumptions are met, Pearson correlation statistics can lead to strong / accurate estimates.

## What is correlation investopedia?

Correlation is a statistic that measures the degree to which two variables move in relation to each other. In finance, the correlation can measure the movement of a stock with that of a benchmark index, such as the S&P 500.

## What is the value of R quizlet?

The value of r is between -1 and +1. The value of r is a measure of the extent to which x and y are related. If all points in a scatterplot of a data set lie exactly on a downward-sloping line, what is the correlation coefficient? The correlation coefficient is r=-1 .

## Which value of R indicates a stronger correlation R or R?

The correlation coefficient, often expressed as r, indicates a measure of the direction and strength of a relationship between two variables. When the r value is closer to +1 or -1, it indicates that there is a stronger linear relationship between the two variables.