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 = -0.7 * weight + 96
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | THALER Klaus-Peter | 60 |
| 8 | KARSTENS Gerben | 74 |
| 13 | OVION Régis | 64 |
| 15 | ROSIERS Roger | 78 |
| 23 | BRACKE Ferdinand | 79 |
| 30 | MERCKX Eddy | 74 |
| 32 | KUIPER Hennie | 69 |
| 44 | SERCU Patrick | 76 |
| 52 | SCHUITEN Roy | 83 |
| 57 | VAN DEN HOEK Aad | 77 |
| 64 | VAN IMPE Lucien | 59 |
| 65 | ZOETEMELK Joop | 68 |
| 69 | AJA Gonzalo | 66 |
| 84 | RAAS Jan | 72 |
| 87 | NICKSON Bill | 76 |
| 88 | MARTIN Raymond | 62 |
| 90 | BOURREAU Bernard | 63 |