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 = -0.8 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Craven
1
75 kgNobel
3
78 kgClain
5
59 kgReguigui
16
69 kgBourgeois
29
61 kg
1
75 kgNobel
3
78 kgClain
5
59 kgReguigui
16
69 kgBourgeois
29
61 kg
Weight (KG) →
Result →
78
59
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CRAVEN Dan | 75 |
| 3 | NOBEL Rick | 78 |
| 5 | CLAIN Médéric | 59 |
| 16 | REGUIGUI Youcef | 69 |
| 29 | BOURGEOIS Guillaume | 61 |