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 = 0.6 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Prodhomme
2
63 kgSørensen
4
64 kgLyhne
6
61 kgKiskonen
9
64 kgBowden
11
65 kgDebeaumarché
12
75 kgMortensen
14
70 kg
2
63 kgSørensen
4
64 kgLyhne
6
61 kgKiskonen
9
64 kgBowden
11
65 kgDebeaumarché
12
75 kgMortensen
14
70 kg
Weight (KG) →
Result →
75
61
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRODHOMME Nicolas | 63 |
| 4 | SØRENSEN Chris Anker | 64 |
| 6 | LYHNE Daniel | 61 |
| 9 | KISKONEN Siim | 64 |
| 11 | BOWDEN Scott | 65 |
| 12 | DEBEAUMARCHÉ Nicolas | 75 |
| 14 | MORTENSEN Martin | 70 |