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 = -0.3 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Ratto
1
74 kgBonnafond
3
68 kgSilin
6
61 kgPichetta
7
56 kgTedeschi
10
69 kgDamuseau
11
64 kg
1
74 kgBonnafond
3
68 kgSilin
6
61 kgPichetta
7
56 kgTedeschi
10
69 kgDamuseau
11
64 kg
Weight (KG) →
Result →
74
56
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RATTO Daniele | 74 |
| 3 | BONNAFOND Guillaume | 68 |
| 6 | SILIN Egor | 61 |
| 7 | PICHETTA Ricardo | 56 |
| 10 | TEDESCHI Mirko | 69 |
| 11 | DAMUSEAU Thomas | 64 |