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 + 2
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOASSON HAGEN Edvald | 75 |
| 2 | VAN DER SANDE Tosh | 67 |
| 3 | PETACCHI Alessandro | 70 |
| 4 | KREDER Michel | 67 |
| 5 | AHLSTRAND Jonas | 72 |
| 6 | CLARKE Simon | 63 |
| 7 | COOKE Baden | 75 |
| 8 | DOWNING Russell | 64 |
| 9 | DEMPSTER Zak | 77 |
| 10 | GIRAUD Benjamin | 71 |