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 = 0.8 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Sutter
6
70 kgPollentier
17
62 kgGavazzi
19
67 kgDierickx
22
74 kgThaler
28
60 kgRaas
29
72 kgvan den Hoek
45
77 kg
6
70 kgPollentier
17
62 kgGavazzi
19
67 kgDierickx
22
74 kgThaler
28
60 kgRaas
29
72 kgvan den Hoek
45
77 kg
Weight (KG) →
Result →
77
60
6
45
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | SUTTER Ueli | 70 |
| 17 | POLLENTIER Michel | 62 |
| 19 | GAVAZZI Pierino | 67 |
| 22 | DIERICKX André | 74 |
| 28 | THALER Klaus-Peter | 60 |
| 29 | RAAS Jan | 72 |
| 45 | VAN DEN HOEK Aad | 77 |