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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOBAYASHI Marino | 64 |
| 2 | KUDUS Merhawi | 58 |
| 3 | KOISHI Yuma | 62 |
| 5 | SIERRA Yecid Arturo | 66 |
| 6 | OKA Atsushi | 57 |
| 7 | YAMAMOTO Masaki | 63 |
| 8 | QUINTERO Leonel | 67 |
| 9 | BUDYAK Anatoliy | 53 |
| 10 | ODA Hijiri | 68 |
| 11 | CAVANAGH Ryan | 72 |
| 12 | AGROTIS Alexandros | 67 |