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 = -1.2 * weight + 105
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 2 | MERCKX Eddy | 74 |
| 3 | DIERICKX André | 74 |
| 4 | DEMEYER Marc | 85 |
| 5 | MOSER Francesco | 79 |
| 6 | MAERTENS Freddy | 65 |
| 7 | SWERTS Roger | 75 |
| 8 | GODEFROOT Walter | 73 |
| 10 | KARSTENS Gerben | 74 |
| 15 | ROSIERS Roger | 78 |
| 16 | VAN LOOY Frans | 75 |
| 20 | RITTER Ole | 74 |
| 29 | KUIPER Hennie | 69 |
| 31 | OVION Régis | 64 |
| 39 | LLOYD Dave | 76 |
| 40 | RAAS Jan | 72 |
| 42 | GAIDA Alfred | 65 |