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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sutherland
1
75 kgKuschynski
2
65 kgBonča
3
63 kgDekker
5
69 kgMarzoli
7
61 kgLaverde
8
63 kg
1
75 kgKuschynski
2
65 kgBonča
3
63 kgDekker
5
69 kgMarzoli
7
61 kgLaverde
8
63 kg
Weight (KG) →
Result →
75
61
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUTHERLAND Rory | 75 |
| 2 | KUSCHYNSKI Aleksandr | 65 |
| 3 | BONČA Valter | 63 |
| 5 | DEKKER Thomas | 69 |
| 7 | MARZOLI Ruggero | 61 |
| 8 | LAVERDE Luis Felipe | 63 |