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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Stites
2
60 kgPiccoli
4
65 kgKoontz
6
80 kgPavlič
8
65 kgGervais
9
72 kgHoehn
11
63 kgLeplingard
12
68 kg
2
60 kgPiccoli
4
65 kgKoontz
6
80 kgPavlič
8
65 kgGervais
9
72 kgHoehn
11
63 kgLeplingard
12
68 kg
Weight (KG) →
Result →
80
60
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STITES Tyler | 60 |
| 4 | PICCOLI James | 65 |
| 6 | KOONTZ Grant | 80 |
| 8 | PAVLIČ Marko | 65 |
| 9 | GERVAIS Laurent | 72 |
| 11 | HOEHN Alex | 63 |
| 12 | LEPLINGARD Antoine | 68 |