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 + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Roberge
2
72 kgGarrison
3
76 kgChrétien
5
65 kgCôté
6
74 kgGervais
8
72 kgGee
11
72 kgOliveira
13
66 kg
2
72 kgGarrison
3
76 kgChrétien
5
65 kgCôté
6
74 kgGervais
8
72 kgGee
11
72 kgOliveira
13
66 kg
Weight (KG) →
Result →
76
65
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROBERGE Adam | 72 |
| 3 | GARRISON Ian | 76 |
| 5 | CHRÉTIEN Charles-Étienne | 65 |
| 6 | CÔTÉ Pier-André | 74 |
| 8 | GERVAIS Laurent | 72 |
| 11 | GEE Derek | 72 |
| 13 | OLIVEIRA Rui | 66 |