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 = -0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Matusiak
1
58 kgLindberg
2
63 kgCappellotto
3
60 kgMelchers
4
59 kgValen
6
62 kgFernandes Silva
9
52 kgValen
17
61 kg
1
58 kgLindberg
2
63 kgCappellotto
3
60 kgMelchers
4
59 kgValen
6
62 kgFernandes Silva
9
52 kgValen
17
61 kg
Weight (KG) →
Result →
63
52
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATUSIAK Bogumiła | 58 |
| 2 | LINDBERG Madeleine | 63 |
| 3 | CAPPELLOTTO Alessandra | 60 |
| 4 | MELCHERS Mirjam | 59 |
| 6 | VALEN Anita | 62 |
| 9 | FERNANDES SILVA Janildes | 52 |
| 17 | VALEN Monica | 61 |