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 + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Lach
2
59 kgPlichta
3
60 kgBoyarskaya
7
67 kgKasper
8
59 kgManly
9
53 kgD'hoore
11
63 kgDuval
17
53 kg
2
59 kgPlichta
3
60 kgBoyarskaya
7
67 kgKasper
8
59 kgManly
9
53 kgD'hoore
11
63 kgDuval
17
53 kg
Weight (KG) →
Result →
67
53
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LACH Marta | 59 |
| 3 | PLICHTA Anna | 60 |
| 7 | BOYARSKAYA Natalia | 67 |
| 8 | KASPER Romy | 59 |
| 9 | MANLY Alexandra | 53 |
| 11 | D'HOORE Jolien | 63 |
| 17 | DUVAL Eugénie | 53 |