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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUGERLI Matej | 68 |
| 2 | MEZGEC Luka | 72 |
| 4 | ROGLIČ Primož | 65 |
| 5 | GOLČER Jure | 66.5 |
| 6 | KOCJAN Jure | 72 |
| 7 | BOLE Grega | 69 |
| 8 | ŠTIMULAK Klemen | 64 |
| 9 | JARC Blaž | 87 |
| 10 | BAJC Andi | 65 |
| 11 | GAZVODA Gregor | 72 |
| 12 | KOREN Kristijan | 72 |
| 13 | TRATNIK Jan | 67 |
| 15 | MOHORIČ Matej | 71 |
| 16 | POLANC Jan | 62 |
| 17 | NOVAK Domen | 70 |
| 18 | KATRAŠNIK Gašper | 69 |
| 19 | BRAJKOVIČ Janez | 60 |
| 24 | RUČIGAJ Žiga | 68 |