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 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOLLER Nikodemus | 58 |
| 3 | FOLSACH Casper | 81 |
| 4 | LAVERACK Edward | 62 |
| 5 | HAMILTON Lucas | 71 |
| 10 | PORTER Elliott | 73 |
| 11 | VEREECKEN Nicolas | 72 |
| 12 | GROEN Ike | 70.5 |
| 13 | HINDLEY Jai | 60 |
| 14 | DUNBAR Eddie | 57 |
| 16 | ROWSELL Erick | 66 |
| 17 | GULLEN James | 65 |
| 18 | DUNNE Conor | 88 |
| 20 | STORER Michael | 63 |