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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bortolami
1
73 kgDernies
2
75 kgFondriest
4
70 kgLilholt
6
72 kgJalabert
8
66 kgHolm Sørensen
9
77 kg
1
73 kgDernies
2
75 kgFondriest
4
70 kgLilholt
6
72 kgJalabert
8
66 kgHolm Sørensen
9
77 kg
Weight (KG) →
Result →
77
66
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BORTOLAMI Gianluca | 73 |
| 2 | DERNIES Michel | 75 |
| 4 | FONDRIEST Maurizio | 70 |
| 6 | LILHOLT Søren | 72 |
| 8 | JALABERT Laurent | 66 |
| 9 | HOLM SØRENSEN Brian | 77 |