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 * weight + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Marzoli
1
61 kgScarponi
2
62 kgVanotti
4
70 kgIvanov
6
71 kgLunghi
7
61 kgPietropolli
10
61 kg
1
61 kgScarponi
2
62 kgVanotti
4
70 kgIvanov
6
71 kgLunghi
7
61 kgPietropolli
10
61 kg
Weight (KG) →
Result →
71
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARZOLI Ruggero | 61 |
| 2 | SCARPONI Michele | 62 |
| 4 | VANOTTI Alessandro | 70 |
| 6 | IVANOV Ruslan | 71 |
| 7 | LUNGHI Denis | 61 |
| 10 | PIETROPOLLI Daniele | 61 |