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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEETERS Rob | 75 |
| 2 | MEERSMAN Gianni | 63 |
| 3 | THWAITES Scott | 71 |
| 4 | CASTELIJNS Twan | 70 |
| 6 | DEGAND Thomas | 63 |
| 7 | BOL Jetse | 71 |
| 9 | RUIJGH Rob | 64 |
| 10 | KLUGE Roger | 83 |
| 11 | VENTER Jaco | 70 |
| 12 | BOL Cees | 83 |
| 13 | WAEYTENS Zico | 67 |
| 14 | KEISSE Iljo | 72 |