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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELMIGER Martin | 73 |
| 3 | SCHNIDER Daniel | 65 |
| 4 | ZBERG Beat | 72 |
| 5 | GIANETTI Mauro | 62 |
| 6 | DUFAUX Laurent | 60 |
| 9 | RAST Grégory | 80 |
| 10 | BEUCHAT Roger | 62 |
| 13 | ZAMPIERI Steve | 62 |
| 21 | CLERC Aurélien | 71 |
| 22 | ZUCCONI Pietro | 63 |
| 30 | JEKER Fabian | 72 |
| 31 | BERTOGLIATI Rubens | 73 |