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 = 0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ELLIOTT Malcolm | 76 |
| 3 | KELLY Sean | 77 |
| 4 | VAN DER POEL Adrie | 70 |
| 5 | GAYANT Martial | 69 |
| 6 | EARLEY Martin | 62 |
| 7 | WINNEN Peter | 60 |
| 8 | ROCHE Stephen | 74 |
| 17 | YATES Sean | 74 |
| 22 | MUSEEUW Johan | 71 |
| 40 | VANDERAERDEN Eric | 74 |
| 42 | SOLLEVELD Gerrit | 93 |
| 46 | LEMOND Greg | 67 |
| 66 | BAYTON Phil | 61 |