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 = 0.4 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Tleubayev
1
70 kgCousin
2
74 kgPliușchin
3
66 kgDruyts
5
69 kgMalacarne
7
73 kgValgren
8
71 kgThurau
9
73 kg
1
70 kgCousin
2
74 kgPliușchin
3
66 kgDruyts
5
69 kgMalacarne
7
73 kgValgren
8
71 kgThurau
9
73 kg
Weight (KG) →
Result →
74
66
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TLEUBAYEV Ruslan | 70 |
| 2 | COUSIN Jérôme | 74 |
| 3 | PLIUȘCHIN Alexandr | 66 |
| 5 | DRUYTS Gerry | 69 |
| 7 | MALACARNE Gael | 73 |
| 8 | VALGREN Michael | 71 |
| 9 | THURAU Björn | 73 |