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 = 0.4 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEUNS Dylan | 64 |
| 2 | CHEVRIER Clément | 56 |
| 3 | SMITH Dion | 67 |
| 4 | ORAM James | 68 |
| 6 | ZEPUNTKE Ruben | 76 |
| 7 | CONTI Valerio | 61 |
| 8 | PUTT Tanner | 75 |
| 9 | GEOGHEGAN HART Tao | 65 |
| 10 | CANTY Brendan | 60 |
| 11 | WACKERMANN Luca | 68 |
| 12 | WATSON Calvin | 72 |
| 13 | PLANET Charles | 71 |
| 15 | ZABEL Rick | 81 |
| 16 | LEMUS Luis | 61 |
| 17 | MOHORIČ Matej | 72 |
| 18 | DANIEL Gregory | 64 |
| 22 | KIRSCH Alex | 78 |