Logarithmic regression Calculator
Analyzes the data table by logarithmic regression and draws the chart. | |||
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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 |
- Purpose of use
- To approximate the accuracy on my ML models
[1] 2023/05/07 18:46 20 years old level / High-school/ University/ Grad student / Very /
- Purpose of use
- Model a data set for a HS mathematics course
[2] 2023/01/17 03:08 Under 20 years old / High-school/ University/ Grad student / Very /
- Purpose of use
- determining logistical relationship
[3] 2022/11/28 02:32 Under 20 years old / High-school/ University/ Grad student / Useful /
- Purpose of use
- To make a grade curve whereas it is easy to pass, yet hard to earn an A
[4] 2022/10/25 04:04 50 years old level / A teacher / A researcher / Very /
- Purpose of use
- While still trying to find the underlying formula, this calc helped me confirm the model (type of the curve. Being logarithmic rather than quadratic).
[5] 2022/06/03 04:51 30 years old level / An engineer / Useful /
- Purpose of use
- Determining the mathematical relationship between the number of bits used in mantissa and exponent for different size floating point numbers as defined in IEEE-754
- Comment/Request
- Thank you for making such a useful set of regression calculators!
[6] 2022/04/07 02:40 20 years old level / Self-employed people / Very /
- Purpose of use
- To find the logarithmic function from two points given.
[7] 2022/03/24 19:47 Under 20 years old / High-school/ University/ Grad student / A little /
- Purpose of use
- Use in IB SL mathematics internal assessment for statistics
[8] 2022/01/10 11:36 Under 20 years old / High-school/ University/ Grad student / Very /
- Purpose of use
- Undergraduate Physics Laboratory
[9] 2021/06/11 15:43 20 years old level / High-school/ University/ Grad student / Useful /
- Purpose of use
- Insurance purpuse
[10] 2021/05/15 00:24 30 years old level / An engineer / Very /
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