**R – Squared Formula (Table of Contents)**

## R – Squared Formula

The R-squared formula is also known as the coefficient of determination, it is a statistical measure which determines the correlation between an investor performance and the return or the performance of the benchmark index. It basically shows what degree a stock or portfolio performance can be attributed to a specific benchmark index. This formula is slightly different from a correlation of variable because the correlation formula shows the relationship between the dependent and the independent variable whereas on the other hand, R -squared formula shows to what extent the variance of one variable explains the variance of the second variable.

A formula for R – Squared is given by:

**R – Squared = 1 – (Sum of First Errors / Sum of Second Errors)**

**Examples of R – Squared Formula (With Excel Template)**

Let’s take an example to understand the calculation of R – Squared in a better manner.

#### Example #1

**Consider the following information, and calculate the R Squared.**

Square of error X will be calculated as:

The result will be as given below.

Square of error X for all the data as given below.

Similarly, We have to calculate Square of error Y for all the data.

R – Squared is calculated using the formula given below

**R – Squared = 1 – (Sum of First Errors / Sum of Second Errors)**

Here first we have squared the error of the following points and have done a summation of the above problems. After that, the sum of the first error is divided by the sum of the second error and is subtracted by 1.

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The R-squared lies within the range of 0 to 1. An r -squared off 1 or 100% signifies that all the movements in the index are completely explained by the movements in the benchmark index.

#### Example #2

**Consider the following information, and calculate the R Squared.**

Square of error X will be calculated as:

The result will be as given below.

Squared of error X for all the data as given below.

Similarly, We have to calculate Squared of error Y for all the data.

R – Squared is calculated using the formula given below

**R – Squared = 1 – (Sum of First Errors / Sum of Second Errors)**

#### Example #3

**Consider the following information, and calculate the R Squared.**

Squared of error X will be calculated as:

The result will be as given below.

Squared of error X for all the data as given below.

Similarly, We have to calculate Squared of error Y for all the data.

R – Squared is calculated using the formula given below

**R – Squared = 1 – (Sum of First Errors / Sum of Second Errors)**

### Relevance and Uses

- This formula is widely being used by portfolio managers and fund managers as a measure that tells how the funds movements correlate with the benchmark index.
- This formula is also used in the stock market industry which tells the broker or the investor how well the stock is correlating with the overall movement of the market.
- This formula has its own limitations as it cannot judge whether the coefficient estimates and the predictions are biased or not hence, you just need to assess the residual plots.
- Where R – Squared does not serve as a good comparison model to compare the goodness of the two variable an R- Squared adjusted is used most of the time to do multiple linear regressions.
- A low or high R- the squared number cannot be always good or bad as it does not tell the user the reliability of the model.
- If the user has a low R-squared value but the independent variables are statistically significant, the user can still draw important conclusions about the relationships between the variables.

### R – Squared Calculator

You can use the following R – Squared Calculator

Sum of First Errors | |

Sum of Second Errors | |

R - Squared Formula | |

R - Squared Formula = | 1 -(Sum of First Errors / Sum of Second Errors) |

= | 1 -(0 / 0) = 0 |

### Recommended Articles

This has been a guide to R – Squared Formula. Here we discuss how to calculate R – Squared along with practical examples. We also provide R – Squared calculator with downloadable excel template. You may also look at the following articles to learn more –