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 - 26
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POULIDOR Raymond | 71 |
| 2 | ZOETEMELK Joop | 68 |
| 6 | MARTIN Raymond | 62 |
| 11 | MAERTENS Freddy | 65 |
| 18 | BRACKE Ferdinand | 79 |
| 24 | VAN IMPE Lucien | 59 |
| 25 | VAN LOOY Frans | 75 |
| 29 | DUCREUX Daniel | 65 |
| 39 | GODEFROOT Walter | 73 |
| 48 | KREKELS Jan | 73 |