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 = -6.7 * weight + 946
This means that on average for every extra kilogram weight a rider loses -6.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE ROOIJ Theo | 69 |
| 2 | DEMIERRE Serge | 70 |
| 5 | SARONNI Giuseppe | 65 |
| 6 | HINAULT Bernard | 62 |
| 10 | KUIPER Hennie | 69 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | KNUDSEN Knut | 79 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | NILSSON Sven-Åke | 63 |
| 990 | MARTIN Raymond | 62 |