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 = 1.4 * weight - 81
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMOLÍK Jan | 73 |
| 2 | HOFFMANN Günter | 65 |
| 4 | KUDRA Jan | 68 |
| 7 | KAPITONOV Viktor | 73 |
| 8 | JUSZKO Janos | 78 |
| 12 | MOICEANU Gabriel | 72 |
| 13 | GAZDA Stanislaw | 69 |
| 15 | MEGYERDI Antal | 65 |
| 17 | SCHUR Gustav-Adolf | 73 |
| 19 | ZIELIŃSKI Rajmund | 80 |
| 25 | MAHÓ László | 70 |
| 33 | AL DAHAB Tarek Abou | 64 |
| 37 | ČUBRIĆ Radoš | 80 |
| 48 | ANDRESEN Ørnulf | 80 |
| 54 | KOTEV Dimitar | 82 |
| 61 | MARTÍNEZ Sergio | 73 |