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 - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Lelli
1
69 kgBortolami
7
73 kgSørensen
9
70 kgVanzella
13
78 kgRiis
17
71 kgBramati
25
72 kgElli
26
71 kg
1
69 kgBortolami
7
73 kgSørensen
9
70 kgVanzella
13
78 kgRiis
17
71 kgBramati
25
72 kgElli
26
71 kg
Weight (KG) →
Result →
78
69
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LELLI Massimiliano | 69 |
| 7 | BORTOLAMI Gianluca | 73 |
| 9 | SØRENSEN Rolf | 70 |
| 13 | VANZELLA Flavio | 78 |
| 17 | RIIS Bjarne | 71 |
| 25 | BRAMATI Davide | 72 |
| 26 | ELLI Alberto | 71 |