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 + 55
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Induráin
2
76 kgKelly
3
77 kgMarie
4
68 kgYates
8
74 kgFignon
9
67 kgDelgado
13
64 kgFondriest
17
70 kg
2
76 kgKelly
3
77 kgMarie
4
68 kgYates
8
74 kgFignon
9
67 kgDelgado
13
64 kgFondriest
17
70 kg
Weight (KG) →
Result →
77
64
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | INDURÁIN Miguel | 76 |
| 3 | KELLY Sean | 77 |
| 4 | MARIE Thierry | 68 |
| 8 | YATES Sean | 74 |
| 9 | FIGNON Laurent | 67 |
| 13 | DELGADO Pedro | 64 |
| 17 | FONDRIEST Maurizio | 70 |