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 = 4.6 * weight + 454
This means that on average for every extra kilogram weight a rider loses 4.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | ZOETEMELK Joop | 68 |
| 8 | NILSSON Sven-Åke | 63 |
| 990 | VAN KATWIJK Fons | 75 |
| 990 | GIMONDI Felice | 78 |
| 990 | SCHEPERS Eddy | 60 |
| 990 | EDWARDS Phil | 80 |
| 990 | DIERICKX André | 74 |
| 990 | MARTINEZ Paulino | 80 |
| 990 | VAN VLIET Leo | 65 |
| 990 | OVION Régis | 64 |
| 990 | BOURREAU Bernard | 63 |
| 990 | KELLY Sean | 77 |
| 990 | BITTINGER René | 69 |