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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Aguirre
1
55 kgChalapud
3
63 kgMonsalve
4
62 kgFedosseyev
6
61.5 kgSilva
9
66 kgSantoro
10
53 kgSafarzadeh
11
66 kg
1
55 kgChalapud
3
63 kgMonsalve
4
62 kgFedosseyev
6
61.5 kgSilva
9
66 kgSantoro
10
53 kgSafarzadeh
11
66 kg
Weight (KG) →
Result →
66
53
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AGUIRRE Hernán Ricardo | 55 |
| 3 | CHALAPUD Robinson | 63 |
| 4 | MONSALVE Yonathan | 62 |
| 6 | FEDOSSEYEV Artur | 61.5 |
| 9 | SILVA Joaquim | 66 |
| 10 | SANTORO Antonio | 53 |
| 11 | SAFARZADEH Saeid | 66 |