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 + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CELANO Danilo | 65 |
| 4 | SKUJIŅŠ Toms | 70 |
| 5 | STETINA Peter | 63 |
| 6 | MCCABE Travis | 72 |
| 7 | PUTT Tanner | 75 |
| 8 | PATE Danny | 73 |
| 12 | BUSCHE Matthew | 69 |
| 13 | JONES Chris | 64 |
| 15 | WILLIAMS Tyler | 73 |
| 16 | CRADDOCK Lawson | 69 |
| 17 | MOLLEMA Bauke | 64 |
| 18 | MURPHY John | 81 |
| 20 | DUCHESNE Antoine | 75 |
| 21 | RAST Grégory | 80 |
| 22 | DAL-CIN Matteo | 77 |
| 23 | HOWES Alex | 61 |
| 26 | MANCEBO Francisco | 64 |