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 = 0.4 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Arredondo
1
58 kgBaliani
2
66 kgToribio
3
64 kgLebas
5
65 kgIribe
8
61 kgOjavee
10
80 kgEarle
11
70 kgMonier
12
75 kg
1
58 kgBaliani
2
66 kgToribio
3
64 kgLebas
5
65 kgIribe
8
61 kgOjavee
10
80 kgEarle
11
70 kgMonier
12
75 kg
Weight (KG) →
Result →
80
58
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARREDONDO Julián David | 58 |
| 2 | BALIANI Fortunato | 66 |
| 3 | TORIBIO José Vicente | 64 |
| 5 | LEBAS Thomas | 65 |
| 8 | IRIBE Shotaro | 61 |
| 10 | OJAVEE Mart | 80 |
| 11 | EARLE Nathan | 70 |
| 12 | MONIER Damien | 75 |