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 = 0.4 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUTHERLAND Rory | 75 |
| 2 | DEKKER Thomas | 69 |
| 4 | ROOIJAKKERS Piet | 68 |
| 7 | MERTENS Pieter | 67 |
| 10 | KOHL Bernhard | 61 |
| 11 | PAULISSEN Roel | 65 |
| 15 | ZONNEVELD Thijs | 63 |
| 23 | SCHEUNEMAN Niels | 75 |
| 24 | MONFORT Maxime | 66 |
| 25 | HOVELIJNCK Kurt | 75 |
| 26 | GILING Bas | 72 |