PEARSON CORRELATION

Correlation

is finding the relationship between two variables

Correlation

It is a statistical technique used to determine the degree to which two variables are related

Pearson

other term for correlation

Types of correlation

positive, negative, no correlation

Direct

Positive

Inverse

Negative

Positive correlation

both variable increases

Negative correlation

One variable increases while the other variable decreases

No correlation

no relationship between the variables

positive correlation

Number of hours spent studying and exam score

positive correlation

Amount of sweet intake and risk of obesity

positive correlation

Age and weight of children

positive correlation

Memory chip and performance of a mobile phone

negative correlation

Age and fertility rate of women

negative correlation

Speed and car accident survival

negative correlation

The amount of sleep and the level of tiredness

negative correlation

Amount of smoking and health status

no correlation

Height and exam scores

no correlation

The amount of coffee being consumed and IQ level

no correlation

A person's shoe size and number of movies he watched

no correlation

Weight and income of an individual

Positive or Direct Correlation

Slanting upward

Negative or Inverse Correlation

Slanting downward

No Correlation

No visible track or trend

0.00

no correlation, no relationship

0.01 to 0.20

very low correlation

0.21 to 0.40

slight correlation

0.41 to 0.70

moderate correlation

0.71 to 0.90

high correlation

0.91 to 0.99

very high correlation

1.00

perfect correlation, perfect relationship