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 = 2.3 * weight - 138
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POULIDOR Raymond | 71 |
| 2 | ZOETEMELK Joop | 68 |
| 3 | MERCKX Eddy | 74 |
| 4 | OVION Régis | 64 |
| 5 | MORTENSEN Leif | 70 |
| 19 | HARRISON Derek | 73 |
| 26 | ROSIERS Roger | 78 |
| 30 | GAIDA Alfred | 65 |
| 31 | DIERICKX André | 74 |
| 35 | KUIPER Hennie | 69 |
| 40 | GODEFROOT Walter | 73 |
| 45 | BRACKE Ferdinand | 79 |
| 46 | CONTI Tino | 79 |
| 52 | LLOYD Dave | 76 |
| 72 | TISCHLER Erwin | 79 |
| 75 | GILSON Roger | 70 |