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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHEVRIER Clément | 56 |
| 2 | ZEPUNTKE Ruben | 76 |
| 3 | PUTT Tanner | 75 |
| 4 | MÜHLBERGER Gregor | 64 |
| 5 | CARTHY Hugh | 69 |
| 7 | SMITH Dion | 67 |
| 9 | LEMUS Luis | 61 |
| 10 | ORAM James | 68 |
| 11 | SWIRBUL Keegan | 65 |
| 12 | MOHORIČ Matej | 71 |
| 13 | DANIEL Gregory | 64 |
| 14 | WATSON Calvin | 72 |
| 15 | ZABEL Rick | 81 |
| 16 | PLANET Charles | 71 |
| 17 | VAN HOOYDONCK Nathan | 78 |
| 18 | AMBROSE Scott | 66 |