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 + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Carthy
1
69 kgHaig
2
67 kgSmit
5
72 kgAyazbayev
9
75 kgLeung
16
73 kgClancy
20
63 kgKoishi
22
62 kgKerby
24
71 kg
1
69 kgHaig
2
67 kgSmit
5
72 kgAyazbayev
9
75 kgLeung
16
73 kgClancy
20
63 kgKoishi
22
62 kgKerby
24
71 kg
Weight (KG) →
Result →
75
62
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARTHY Hugh | 69 |
| 2 | HAIG Jack | 67 |
| 5 | SMIT Willie | 72 |
| 9 | AYAZBAYEV Maxat | 75 |
| 16 | LEUNG Chun Wing | 73 |
| 20 | CLANCY Stephen | 63 |
| 22 | KOISHI Yuma | 62 |
| 24 | KERBY Jordan | 71 |