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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Raas
1
72 kgHoste
3
76 kgvan den Hoek
6
77 kgPollentier
8
62 kgMadiot
10
68 kgHinault
12
62 kgPriem
18
75 kg
1
72 kgHoste
3
76 kgvan den Hoek
6
77 kgPollentier
8
62 kgMadiot
10
68 kgHinault
12
62 kgPriem
18
75 kg
Weight (KG) →
Result →
77
62
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAAS Jan | 72 |
| 3 | HOSTE Frank | 76 |
| 6 | VAN DEN HOEK Aad | 77 |
| 8 | POLLENTIER Michel | 62 |
| 10 | MADIOT Marc | 68 |
| 12 | HINAULT Bernard | 62 |
| 18 | PRIEM Cees | 75 |