Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.6 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOLLERING Demi | 57 |
| 2 | ROOIJAKKERS Pauliena | 58 |
| 3 | CAVALLI Marta | 53 |
| 4 | FAULKNER Kristen | 62 |
| 6 | BARIL Olivia | 56 |
| 7 | CHABBEY Elise | 52 |
| 8 | LABOUS Juliette | 54 |
| 10 | LIPPERT Liane | 56 |
| 11 | MACKAIJ Floortje | 57 |
| 12 | BRAND Lucinda | 57 |
| 15 | SPRATT Amanda | 55 |
| 17 | AMIALIUSIK Alena | 53 |
| 19 | GUTIÉRREZ Sheyla | 60 |
| 21 | PALADIN Soraya | 59 |
| 24 | GUDERZO Tatiana | 54 |
| 25 | DOEBEL-HICKOK Krista | 51 |