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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGLIČ Primož | 65 |
| 2 | VINE Jay | 69 |
| 3 | SKJELMOSE Mattias | 65 |
| 4 | EVENEPOEL Remco | 61 |
| 5 | VINGEGAARD Jonas | 58 |
| 6 | VAUQUELIN Kévin | 69 |
| 7 | AYUSO Juan | 65 |
| 8 | SCHACHMANN Maximilian | 71 |
| 9 | HAYTER Ethan | 70 |
| 10 | IZAGIRRE Ion | 60 |
| 11 | MCNULTY Brandon | 69 |
| 12 | ARMIRAIL Bruno | 72 |
| 13 | DEL TORO Isaac | 64 |
| 14 | BUITRAGO Santiago | 59 |
| 15 | SÜTTERLIN Jasha | 78 |