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 = 1.6 * weight - 89
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PFANNBERGER Christian | 63 |
| 2 | EIBEGGER Markus | 68 |
| 3 | ROHREGGER Thomas | 63 |
| 4 | TRAMPUSCH Gerhard | 60 |
| 8 | DENIFL Stefan | 65 |
| 14 | BENETSEDER Josef | 65 |
| 21 | SCHORN Daniel | 72 |
| 22 | SCHOFFMANN Martin | 67 |
| 24 | GRAF Andreas | 72 |
| 25 | KRIZEK Matthias | 74 |
| 30 | PÖLL Stefan | 60 |
| 37 | EISEL Bernhard | 74 |
| 41 | GLOMSER Gerrit | 67 |
| 44 | LUDESCHER Philipp | 72 |