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 + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
D'hoore
1
63 kgWild
2
75 kgHosking
3
60 kgRoy
4
66 kgErić
5
53 kgRyan
6
59 kgFrapporti
7
63 kgMoberg
8
56 kg
1
63 kgWild
2
75 kgHosking
3
60 kgRoy
4
66 kgErić
5
53 kgRyan
6
59 kgFrapporti
7
63 kgMoberg
8
56 kg
Weight (KG) →
Result →
75
53
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | D'HOORE Jolien | 63 |
| 2 | WILD Kirsten | 75 |
| 3 | HOSKING Chloe | 60 |
| 4 | ROY Sarah | 66 |
| 5 | ERIĆ Jelena | 53 |
| 6 | RYAN Kendall | 59 |
| 7 | FRAPPORTI Simona | 63 |
| 8 | MOBERG Emilie | 56 |