Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|

r2 | 1.01 | 0.9 | 8496 | 99 | 2 |

Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|

r2 | 1.48 | 0.8 | 3482 | 16 |

Answer Wiki. The simple way to understand R2 is that R2 tells you how much variance is explained by your model. R2 equal to sum square regression/ sum square of total. It is the ratio between the variance of regression and the total variance of data.

In statistics, R-squared (R2), or the coefficient of determination, is a widely used measure of a model (regression) performance against known observations. It is used in the asset management industry to measure the relationship between a portfolio and its benchmark.