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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PUTT Tanner | 75 |
| 3 | HOWES Alex | 61 |
| 4 | HUFFMAN Evan | 71 |
| 7 | WILLIAMS Tyler | 73 |
| 8 | MURPHY John | 81 |
| 9 | DUCHESNE Antoine | 75 |
| 10 | MCCABE Travis | 72 |
| 11 | MANCEBO Francisco | 64 |
| 13 | MOLLEMA Bauke | 64 |
| 17 | CATAFORD Alexander | 70 |
| 20 | SKUJIŅŠ Toms | 70 |