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 + 30
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Ferrari
1
73 kgBandiera
3
68 kgMontaguti
4
65 kgPasseron
6
73 kgDe Negri
9
61 kg
1
73 kgBandiera
3
68 kgMontaguti
4
65 kgPasseron
6
73 kgDe Negri
9
61 kg
Weight (KG) →
Result →
73
61
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FERRARI Roberto | 73 |
| 3 | BANDIERA Marco | 68 |
| 4 | MONTAGUTI Matteo | 65 |
| 6 | PASSERON Aurélien | 73 |
| 9 | DE NEGRI Pier Paolo | 61 |