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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Ekimov
1
69 kgNardello
2
74 kgHegg
3
70 kgDekker
5
66 kgElli
7
71 kgGaumont
10
77 kgHamilton
12
65 kgBrożyna
14
65 kg
1
69 kgNardello
2
74 kgHegg
3
70 kgDekker
5
66 kgElli
7
71 kgGaumont
10
77 kgHamilton
12
65 kgBrożyna
14
65 kg
Weight (KG) →
Result →
77
65
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EKIMOV Viatcheslav | 69 |
| 2 | NARDELLO Daniele | 74 |
| 3 | HEGG Steve | 70 |
| 5 | DEKKER Erik | 66 |
| 7 | ELLI Alberto | 71 |
| 10 | GAUMONT Philippe | 77 |
| 12 | HAMILTON Tyler | 65 |
| 14 | BROŻYNA Tomasz | 65 |