Which Represents A Weak Positive Correlation?

A weak positive correlation would indicate

that while both variables tend to go up in response to one another

, the relationship is not very strong. A strong negative correlation, on the other hand, would indicate a strong connection between the two variables, but that one goes up whenever the other one goes down.

What is an example of a weak positive correlation?

In technology fields, the correlation between variables might need to be much higher to even be considered “weak.” For example, if

a company creates a self-driving car and the correlation between the car’s turning decisions and the probability of avoiding a wreck is r = 0.95

, this may be considered a “weak” correlation …

Is 0.5 a weak positive correlation?

Positive correlation is measured on a 0.1 to 1.0 scale. Weak positive correlation would be in the range of 0.1 to 0.3,

moderate positive correlation

from 0.3 to 0.5, and strong positive correlation from 0.5 to 1.0. The stronger the positive correlation, the more likely the stocks are to move in the same direction.

Is .9 a weak positive correlation?

The magnitude of the correlation coefficient indicates the strength of the association. … For example, a correlation of r = 0.9 suggests a strong, positive association between two variables, whereas a correlation of

r = -0.2 suggest a weak

, negative association.

Is 0.17 a weak positive correlation?

However, a correlation coefficient with an absolute value of 0.9 or greater would represent a very strong relationship. Now you may classify any value between correlation coefficient into strong positive (1 to 0.5),

weak positive

(0.49 to 0.1), strong negative (-0.5 to -1) and weak negative (-0.1 to 0.49).

How do you interpret a weak positive correlation?

A weak positive correlation would indicate

that while both variables tend to go up in response to one another

, the relationship is not very strong. A strong negative correlation, on the other hand, would indicate a strong connection between the two variables, but that one goes up whenever the other one goes down.

How do you describe a weak correlation?

A weak correlation means that

as one variable increases or decreases, there is a lower likelihood of there being a relationship with the second variable

. In a visualization with a weak correlation, the angle of the plotted point cloud is flatter. If the cloud is very flat or vertical, there is a weak correlation.

What does a correlation of .5 mean?

The main result of a correlation is called the correlation coefficient (or “r”). It ranges from -1.0 to +1.0. The closer r is to +1 or -1, the more closely the two variables are related. If r is close to 0, it means there is no relationship between the variables. …

5 means 25% of the variation is related

(.

Which of the following indicates the strongest relationship?

The strongest linear relationship is indicated by

a correlation coefficient of -1 or 1

. 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.

What is a good positive correlation?

A perfectly positive correlation means that

100% of the time

, the variables in question move together by the exact same percentage and direction. A positive correlation can be seen between the demand for a product and the product’s associated price. … A positive correlation does not guarantee growth or benefit.

What are the 4 types of correlation?

Usually, in statistics, we measure four types of correlations:

Pearson correlation, Kendall rank correlation, Spearman correlation, and the Point-Biserial correlation

.

Is 0.2 A weak correlation?

For example, a value of 0.2 shows there is a positive correlation between two variables, but

it is weak and likely unimportant

. … However, a correlation coefficient with an absolute value of 0.9 or greater would represent a very strong relationship.

Which of these correlation numbers shows the strongest relationship?

A negative correlation can indicate a strong relationship or a weak relationship. Many people think that a correlation of –1 indicates no relationship. But the opposite is true.

A correlation of -1

indicates a near perfect relationship along a straight line, which is the strongest relationship possible.

Is a strong or weak correlation?

What is an example of zero correlation?

A zero correlation exists when there is no relationship between two variables. For example there is

no relationship between the amount of tea drunk and level of intelligence

.

Which of the following correlation coefficients is the weakest?

(a) –

0.15

represents the weakest correlation.