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 = 0.6 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | BERNAUDEAU Jean-René | 64 |
| 4 | ROCHE Stephen | 74 |
| 6 | ZOETEMELK Joop | 68 |
| 13 | NILSSON Sven-Åke | 63 |
| 15 | BOURREAU Bernard | 63 |
| 26 | MAERTENS Freddy | 65 |
| 27 | SERGEANT Marc | 76 |
| 28 | JOURDAN Christian | 64 |
| 33 | MARTIN Raymond | 62 |
| 63 | MARTINEZ Paulino | 80 |