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 + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Arredondo
1
58 kgBaliani
2
66 kgLebas
4
65 kgFukushima
5
62 kgJang
7
64 kgShimizu
9
60 kgMasuda
10
63 kg
1
58 kgBaliani
2
66 kgLebas
4
65 kgFukushima
5
62 kgJang
7
64 kgShimizu
9
60 kgMasuda
10
63 kg
Weight (KG) →
Result →
66
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARREDONDO Julián David | 58 |
| 2 | BALIANI Fortunato | 66 |
| 4 | LEBAS Thomas | 65 |
| 5 | FUKUSHIMA Shinichi | 62 |
| 7 | JANG Chan Jae | 64 |
| 9 | SHIMIZU Miyataka | 60 |
| 10 | MASUDA Nariyuki | 63 |