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 = 3.6 * weight + 353
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN IMPE Lucien | 59 |
| 3 | ZOETEMELK Joop | 68 |
| 4 | POULIDOR Raymond | 71 |
| 6 | MOSER Francesco | 79 |
| 17 | MERCKX Eddy | 74 |
| 59 | HINAULT Bernard | 62 |
| 990 | VAN LOOY Frans | 75 |
| 990 | RITTER Ole | 74 |
| 990 | TAMAMES Agustín | 66 |
| 990 | BOURREAU Bernard | 63 |
| 990 | OVION Régis | 64 |
| 990 | MAERTENS Freddy | 65 |
| 990 | POLLENTIER Michel | 62 |
| 990 | GODEFROOT Walter | 73 |
| 990 | DEMEYER Marc | 85 |