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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Raileanu
1
63 kgDe Rossi
2
70 kgSainbayar
3
60 kgChawchiangkwang
4
64 kgKuzmin
5
66 kgCahyadi
6
52 kgSierra
7
66 kg
1
63 kgDe Rossi
2
70 kgSainbayar
3
60 kgChawchiangkwang
4
64 kgKuzmin
5
66 kgCahyadi
6
52 kgSierra
7
66 kg
Weight (KG) →
Result →
70
52
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAILEANU Cristian | 63 |
| 2 | DE ROSSI Lucas | 70 |
| 3 | SAINBAYAR Jambaljamts | 60 |
| 4 | CHAWCHIANGKWANG Peerapol | 64 |
| 5 | KUZMIN Anton | 66 |
| 6 | CAHYADI Aiman | 52 |
| 7 | SIERRA Yecid Arturo | 66 |