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 = 0.7 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HIRSCHI Marc | 61 |
| 2 | RIES Michel | 67 |
| 3 | GAUDU David | 53 |
| 4 | GARCÍA Jhojan | 55 |
| 5 | BANZER Gordian | 56 |
| 6 | STORK Florian | 65 |
| 7 | ADAMIETZ Johannes | 61 |
| 8 | INKELAAR Kevin | 64 |
| 11 | CANTÓN Isaac | 65 |
| 12 | IDJOUADIENE Pierre | 69 |
| 14 | SCHINNAGEL Johannes | 68 |
| 15 | HALLER Patrick | 68 |
| 16 | REUTTER Sven | 72 |
| 17 | SALMON Martin | 59 |
| 18 | HEINSCHKE Leon | 70 |
| 19 | ARERUYA Joseph | 74 |
| 20 | GALL Felix | 66 |