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 = -0.9 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEMEYER Marc | 85 |
| 2 | MOSER Francesco | 79 |
| 3 | DE VLAEMINCK Roger | 74 |
| 4 | KUIPER Hennie | 69 |
| 5 | GODEFROOT Walter | 73 |
| 6 | MERCKX Eddy | 74 |
| 7 | RAAS Jan | 72 |
| 13 | POULIDOR Raymond | 71 |
| 15 | ZOETEMELK Joop | 68 |
| 17 | SWERTS Roger | 75 |
| 19 | RITTER Ole | 74 |
| 26 | OVION Régis | 64 |
| 32 | BRACKE Ferdinand | 79 |
| 33 | POLLENTIER Michel | 62 |