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##### Asked by: Irenea Alzaga

science physics# What does a weak linear relationship mean?

Last Updated: 24th April, 2020

**means**that the data has a very

**weak linear relationship**or no

**linear relationship**. When r is close to zero, it is possible that the data has a strong curvilinear

**relationship**(as we saw in this example).

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Correspondingly, what is a weak linear relationship?

The **correlation** coefficient, denoted by r, is a measure of the strength of the straight-line or **linear relationship** between two variables. Values between 0 and 0.3 (0 and -0.3) indicate a **weak** positive (negative) **linear relationship** via a shaky **linear** rule.

Likewise, what does a strong linear relationship mean? The strongest **linear relationship** occurs when the slope is 1. This **means** that when one variable increases by one, the other variable also increases by the same amount. The strength of the **relationship** between two variables is a crucial piece of information.

Regarding this, what is 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. If the cloud is very flat or vertical, there is a **weak correlation**.

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**.