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 + 14
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Clain
5
59 kgNobel
20
78 kgCraven
21
75 kgReguigui
26
69 kgBourgeois
36
61 kg
5
59 kgNobel
20
78 kgCraven
21
75 kgReguigui
26
69 kgBourgeois
36
61 kg
Weight (KG) →
Result →
78
59
5
36
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | CLAIN Médéric | 59 |
| 20 | NOBEL Rick | 78 |
| 21 | CRAVEN Dan | 75 |
| 26 | REGUIGUI Youcef | 69 |
| 36 | BOURGEOIS Guillaume | 61 |