# Regression estimate (integrated) Calculator

## Calculates a estimate of x or y from the data table by selected regression and draws the chart. (i.e. Linear, Logarithmic, e-Exponential, ab-Exponential, Power, Inverse and Quadratic regression) | ||

Guidelines for interpreting correlation coefficient r : 0.7＜|r|≦1 strong correlation 0.4＜|r|＜0.7 moderate correlation 0.2＜|r|＜0.4 weak correlation 0≦|r|＜0.2 no correlation |

Regression estimate (integrated)

[1-4] /4 | Disp-Num |

- Purpose of use
- sensor characterization
- Comment/Request
- I appreciate the tool just one thing should be good to be able to copy and paste the data as table format from an excel spreadsheet for instance , because it could be tedious to write each data point one by one.

[1] 2020/12/01 15:29 20 years old level / High-school/ University/ Grad student / Very /

- Purpose of use
- Entertainment, I was using our local Department of Health data to

extrapolate our local COVID cases ten days from now.

(I'm a retired researchers but not a statistician.)

[2] 2020/04/08 18:15 60 years old level or over / A retired person / Very /

- Purpose of use
- Easily compute differents regression with my data without writing code
- Comment/Request
- I would be useful to:

- compute the regression on the different classes of functions (Power, Inverse, etc) to see the best fit easily.

- I don't know what is your correlation coefficient. I usually use R², it would be nice to have it.

[3] 2019/09/29 00:47 20 years old level / An engineer / Useful /

- Purpose of use
- No calculator no problem with this around.

[4] 2018/01/12 00:46 Under 20 years old / High-school/ University/ Grad student / Very /

**To improve this 'Regression estimate (integrated) Calculator', please fill in questionnaire.**

**The hyperlink to [Regression estimate (integrated)]**