**Here’s All You Need to Know About Covariance and Correlation**

**What is correlation?**

Getting covariance and correlation homework help can be rather difficult. This is simply because these concepts can be difficult to grasp and understand. Mathematics in itself, even some of the simplest concepts are hard to understand, as you progress from class to class it may seem like it is not getting any easier. This is why you need a simple and straightforward approach to the complicated like this.

If you read the definitions and go through the examples over and over again, eventually you will begin to understand the meaning. Correlation comes into play when you have two variables that change together. The correlation coefficient measures the extent of change between these variables, that is, it measures the strength and direction of this change and the relationship between the variables.

Any covariance and correlation assignment help that you find will give you two correlation analyses that were offered by Minitab:

- The first is the Pearson’s product moment correlation; this measures the linear relationship between two variables that are continuous. You generally have a linear correlation when a change in one of the variables causes an equal and proportionate change in the other variable.
- The second is called Spearman’s rho or Spearman’s rank-order correlation. In this the variables tend to change together but at different rates. This means that the variables share a monotonic or ordinal relationship. Thus, the Spearman’s rank-order correlation measures this monotonic relationship between the variables. These are just few of the basic points that you will come across when you look for covariance and correlation homework help.

**What is covariance? **

This is the part in the covariance and correlation assignment help that can get a bit confusing. Covariance also measure the linear relationship between variables but the difference is the fact that it is not standardized, like the correlation coefficients are. Because of this covariance can range on the scale from both the positive infinity and the negative infinity.

This portion of your covariance and correlations homework help that you get is relatively easy to understand. A positive covariance means that an above average value of a variable is related to the above average value of the other variable; and it is so with negative values as well. Whereas, negative values of an above average variable is related to the below average value of another variable, and vice versa.

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