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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Arredondo
1
58 kgBaliani
2
66 kgSonnery
3
60 kgMasuda
4
61 kgHatanaka
5
72 kgButler
6
61 kgSano
7
76 kgClarke
10
81 kg
1
58 kgBaliani
2
66 kgSonnery
3
60 kgMasuda
4
61 kgHatanaka
5
72 kgButler
6
61 kgSano
7
76 kgClarke
10
81 kg
Weight (KG) →
Result →
81
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARREDONDO Julián David | 58 |
| 2 | BALIANI Fortunato | 66 |
| 3 | SONNERY Blaise | 60 |
| 4 | MASUDA Nariyuki | 61 |
| 5 | HATANAKA Yusuke | 72 |
| 6 | BUTLER Chris | 61 |
| 7 | SANO Junya | 76 |
| 10 | CLARKE Will | 81 |