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 = -0.6 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Edwards
1
59 kgKessler
3
60 kgLabous
7
54 kgSolovey
11
56 kgDuyck
13
60 kgThomas
15
58 kgHall
17
52 kgLach
19
59 kg
1
59 kgKessler
3
60 kgLabous
7
54 kgSolovey
11
56 kgDuyck
13
60 kgThomas
15
58 kgHall
17
52 kgLach
19
59 kg
Weight (KG) →
Result →
60
52
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDWARDS Ruth | 59 |
| 3 | KESSLER Nina | 60 |
| 7 | LABOUS Juliette | 54 |
| 11 | SOLOVEY Hanna | 56 |
| 13 | DUYCK Ann-Sophie | 60 |
| 15 | THOMAS Leah | 58 |
| 17 | HALL Katie | 52 |
| 19 | LACH Marta | 59 |