Are you a statistics person? Have you ever shown interest in statistics? Even if not interested, if you have a little knowledge about stats, you would know the term correlation. And for those who don’t know, correlation is a statistical measure that expresses the extent to which two variables are linearly related. They can change together at a constant rate. It describes simple relationships without making a statement about cause and effect. Now there are various criteria by which we can determine which correlation is the strongest. In this article, we shall majorly focus on the aspect of the strongest correlation and whether is a negative correlation strong.

**1. What’s a Strong Correlation?**

In correlation, an important aspect is to determine how strong it is. So, which correlation is the strongest? According to the rule of correlation coefficients, the strongest correlation is considered when the value is **closest to +1 **(positive correlation) **or -1** (negative correlation). So, for example, if we have to compare and contrast +0.90 and +0.10 and derive an answer to which correlation is the strongest, guess what the answer would be. Yes, you guessed it right, the correct answer would be +0.90. (See What are the Types of Functions?)

**2. What is High Correlation?**

The concept of strong correlation has been discussed, let’s see what is high correlation. Strong and high are two different words with completely different meanings. However, in terms of correlation, the two words serve the same purpose. The term correlation determines the strength of a relationship between two variables. A strong or high correlation would mean tha**t two variables or more have a strong relationship with each other** while a weaker or low correlation would mean that the variables are hardly related. (See How can You Find the Sum of the First 100 Natural Numbers?)

**3. Which Correlation is the Strongest?**

After reading about high correlation, an inquisitive mind would always jump to the next obvious question, which correlation is the strongest? The strongest linear relationship is indicated by a correlation coefficient of 1 or -1 and the weakest is indicated by 0. When it comes to comparing two values, the one** closer to either -1 or +1** is considered to be the strongest. (See What Graph is useful for Showing Changes in a variable?)

**4. Is 0.1 a Strong Correlation?**

The positive correlation is measured on a scale of 0.1 to 1.0. **No, 0.1 is not a strong correlation.** The range in-between 0.1 to 0.3 is called weak positive correlation, moderate positive correlation from 0.3 to 0.6, and strong positive correlation from 0.7 to 1.0. (See What is a Mathematical Sentence Example?)

**5. Is 1.5 a Strong Correlation?**

Well,** you can never get a correlation of 1.5.** The correlation coefficient ranges from -1 to + 1. A value of -1 would be a perfect negative correlation and a value of +1 would be a perfect positive correlation. A value of 0 would be zero or neutral correlation. Hence, if you get 1.5 as your correlation coefficient, you need to recheck your sum. (See What is Algebra used for in real life?)

**6. Is 1 a Strong Correlation?**

While determining the correlation, the value of the number indicates the strength of the relationship. Since the correlation only ranges from -1 to +1, one might wonder if is 1 a strong correlation.

The correlation is denoted as r = 0, r = 1, or r = 0.1, etc. r = 1 means there is a perfect positive correlation and a perfect correlation is a very strong correlation. So** yes, 1 is a strong correlation. **Check out How to do Addition using Standard Algorithm?

**7. Is 0.6 a Strong Correlation?**

After knowing so much about correlation, ask yourself this question and try answering it. Yes, you guessed it right. **No**,** 0.6 is not a strong correlation**. r = 0.6 can be labeled as a moderately positive correlation relationship. This magnitude of a variable is strong but not as strong, hence it is better called moderate positive correlation. (See Why is Mathematical concept important?)

**8. Is 0.2 a Weak Correlation?**

As mentioned earlier, there are bifurcations made on the basis of the values. The magnitude of the correlation decides the strength or weakness of the association. **Yes, the correlation value of 0.2 is a weak correlation.** Since 0.2 is very much near 0 correlation, it is almost considered negligible. (See What is i to the Power of 3?)

**9. Is 0.05 a Strong Correlation?**

If your correlation value equals 0.05, it means that there is only a 5% chance that results from your sample occurred due to chance. Since 0.05 is very near to 0 one thing that is clear is that it is definitely **not a strong correlation,** it is a lower value. (See What is 0.5?)

**10. Is 0.8 a Strong Correlation?**

We believe that now this question should not be a problem to answer.** Yes,** the correlation coefficient value of 0.8 is a fairly strong correlation magnitude. (See What are Some Examples of Categorical Variables?)

**11. Is 0.4 a Strong Correlation?**

A linear correlation value of 0.4 is **not exactly a strong correlation** but it is considered to be relatively or moderately strong. The ones below 0.3 are considered to be weak correlations. (See What is the Very Last Number in the World?)

**12. Is a Negative Correlation Strong?**

We generally seem to believe all the good about positives and bad about negatives. Hence, a very obvious question is, is a negative correlation strong? A negative correlation can indicate a strong or weak relationship. A strong negative correlation is when one of the two variables increases in value while the other decreases. It is a false notion that -1 indicates no relationship. But the truth is the opposite. A correlation of -1 indicates that it is a **near-perfect relationship** along a straight line which is the strongest relationship that is possible.

The concept of correlation can be tricky but is a very important part of statistics. This article focussed on discussing in detail which correlation is the strongest. We talked about strong and weak correlations, positive and negative correlations, high and low values, and a lot more. What we determined was that high values are great, and lower values are good too but how much lower is lower enough? Well, that is for you to find out now. Hope this article was of help and lightened the fire to the curiosity about correlations. (Also read What is a Circle Degree Chart?)