Sabrina stated there was a correlation between food intake and weight as the scores tended to rise and fall together.

Positive correlation

Explanation:

What Is Positive Correlation?

Positive correlation refers to a relationship that exist between two variables in such that they tend to move towards the same direction, in such that one one variable increases the other also increases and also when the other variable decreases the other one also decreases.

Statistically a great positive correlation is shown by a coefficient value of +1.0, whereas when there is no correlation that is shown by 0 and perfect inverse is shown by -1.0 coefficient. The vital thing to take note of is that this doesn't mean causation , which means it doesn't mean that the other variable is the direct cause of changes in the other variable. Positive correlation just means the two variables tend to behave the same way percentage and direction wise. For example this can be seen when teh price of the product is changed like when the demand increases the price also rises.

When people increase their food intake their weight scores tend to increase and when they decrease their food intake their weight scores tend to decrease however we know there are so many things that can increase weight gain not food itself but these two tends to move towards the same direction and percentage.

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