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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | REYES Aldemar | 55 |
| 3 | DOUBEY Fabien | 62 |
| 4 | SCHACHMANN Maximilian | 71 |
| 5 | DAVIES Scott | 66 |
| 6 | MAS Enric | 61 |
| 7 | SIERRA Yecid Arturo | 66 |
| 8 | VANHOUCKE Harm | 65 |
| 9 | FRANKINY Kilian | 67 |
| 11 | OURSELIN Paul | 70 |
| 12 | PEARSON Daniel | 53 |
| 15 | HUCKER Robbie | 68 |
| 17 | CHRISTIAN Mark | 72 |
| 18 | SHAW James | 63 |
| 19 | BOUWMANS Dylan | 64 |