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 = -1 * weight + 90
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Boivin
3
78 kgPhinney
4
82 kgKing
7
68 kgGmelich Meijling
9
77 kgWarbasse
26
67 kgIribe
27
61 kgRosskopf
31
74 kg
3
78 kgPhinney
4
82 kgKing
7
68 kgGmelich Meijling
9
77 kgWarbasse
26
67 kgIribe
27
61 kgRosskopf
31
74 kg
Weight (KG) →
Result →
82
61
3
31
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOIVIN Guillaume | 78 |
| 4 | PHINNEY Taylor | 82 |
| 7 | KING Ben | 68 |
| 9 | GMELICH MEIJLING Jarno | 77 |
| 26 | WARBASSE Larry | 67 |
| 27 | IRIBE Shotaro | 61 |
| 31 | ROSSKOPF Joey | 74 |