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 - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCONVEY Connor | 67 |
| 2 | HIRT Jan | 62 |
| 3 | VILELA Ricardo | 59 |
| 6 | FONTE César | 60 |
| 7 | DE BIE Sean | 65 |
| 8 | KOZHATAYEV Bakhtiyar | 62 |
| 11 | MONIER Damien | 75 |
| 12 | BRANDÃO Joni | 64 |
| 14 | HATSUYAMA Sho | 59 |
| 19 | BROECKX Stig | 73 |
| 20 | KOSHEVOY Ilia | 62.5 |
| 21 | KRIVTSOV Dmytro | 72 |
| 22 | SHIMIZU Miyataka | 60 |