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 - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEERSMAN Gianni | 63 |
| 2 | SWIFT Ben | 69 |
| 3 | MARTENS Paul | 69 |
| 4 | JANS Roy | 68 |
| 5 | ŠTYBAR Zdeněk | 68 |
| 6 | KREDER Raymond | 70 |
| 7 | HERRADA Jesús | 70 |
| 8 | BRANDÃO Joni | 64 |
| 9 | GONZÁLEZ Mario | 65 |
| 10 | NAVARDAUSKAS Ramūnas | 79 |
| 11 | KWIATKOWSKI Michał | 68 |
| 12 | MAGALHAES Samuel | 70 |
| 13 | BOIVIN Guillaume | 78 |