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 = 0.7 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Ramos
2
65 kgRojas
3
58 kgSevilla
7
62 kgVinhas
11
59 kgSilva
12
66 kgMédici
13
70 kgTedeschi
14
69 kgAlarcón
15
72 kg
2
65 kgRojas
3
58 kgSevilla
7
62 kgVinhas
11
59 kgSilva
12
66 kgMédici
13
70 kgTedeschi
14
69 kgAlarcón
15
72 kg
Weight (KG) →
Result →
72
58
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAMOS Kléber | 65 |
| 3 | ROJAS Juan Carlos | 58 |
| 7 | SEVILLA Óscar | 62 |
| 11 | VINHAS Rui | 59 |
| 12 | SILVA Joaquim | 66 |
| 13 | MÉDICI Matías | 70 |
| 14 | TEDESCHI Mirko | 69 |
| 15 | ALARCÓN Raúl | 72 |