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 - 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Sevilla
1
62 kgCésar Veloso
3
69 kgRamos
5
65 kgAndriato
7
67 kgZangerle
8
63 kgCecchinel
9
69 kg
1
62 kgCésar Veloso
3
69 kgRamos
5
65 kgAndriato
7
67 kgZangerle
8
63 kgCecchinel
9
69 kg
Weight (KG) →
Result →
69
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 3 | CÉSAR VELOSO Gustavo | 69 |
| 5 | RAMOS Kléber | 65 |
| 7 | ANDRIATO Rafael | 67 |
| 8 | ZANGERLE Joel | 63 |
| 9 | CECCHINEL Giorgio | 69 |