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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Gamito
1
66 kgSilva
3
68 kgBernabéu
4
66 kgJufré
10
65 kgMosquera
13
65 kgSousa
15
59 kgSarkauskas
16
74 kg
1
66 kgSilva
3
68 kgBernabéu
4
66 kgJufré
10
65 kgMosquera
13
65 kgSousa
15
59 kgSarkauskas
16
74 kg
Weight (KG) →
Result →
74
59
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAMITO Vitor | 66 |
| 3 | SILVA João Pedro | 68 |
| 4 | BERNABÉU David | 66 |
| 10 | JUFRÉ Josep | 65 |
| 13 | MOSQUERA Ezequiel | 65 |
| 15 | SOUSA Rui | 59 |
| 16 | SARKAUSKAS Saulius | 74 |