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 = 2.9 * weight - 160
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | THALER Klaus-Peter | 60 |
| 9 | MERCKX Eddy | 74 |
| 11 | OVION Régis | 64 |
| 14 | VAN IMPE Lucien | 59 |
| 17 | ZOETEMELK Joop | 68 |
| 23 | BOURREAU Bernard | 63 |
| 25 | KUIPER Hennie | 69 |
| 27 | AJA Gonzalo | 66 |
| 39 | MARTIN Raymond | 62 |
| 42 | SCHUITEN Roy | 83 |
| 60 | ROSIERS Roger | 78 |
| 74 | NICKSON Bill | 76 |
| 81 | KARSTENS Gerben | 74 |
| 82 | VAN DEN HOEK Aad | 77 |
| 84 | SERCU Patrick | 76 |
| 87 | BRACKE Ferdinand | 79 |