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 = 1.1 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 3 | VAN IMPE Lucien | 59 |
| 7 | ZOETEMELK Joop | 68 |
| 8 | MERCKX Eddy | 74 |
| 12 | MARTIN Raymond | 62 |
| 14 | DIERICKX André | 74 |
| 16 | POULIDOR Raymond | 71 |
| 23 | OVION Régis | 64 |
| 27 | THALER Klaus-Peter | 60 |
| 29 | KELLY Sean | 77 |
| 32 | LADRÓN Rafael | 74 |
| 44 | BRACKE Ferdinand | 79 |
| 52 | VAN LOOY Frans | 75 |
| 63 | BOURREAU Bernard | 63 |
| 66 | TAMAMES Agustín | 66 |
| 70 | SERCU Patrick | 76 |