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 = 1 * weight - 49
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Jourdan
1
64 kgGayant
11
69 kgThaler
12
60 kgMartin
30
62 kgFignon
32
67 kgYates
33
74 kg
1
64 kgGayant
11
69 kgThaler
12
60 kgMartin
30
62 kgFignon
32
67 kgYates
33
74 kg
Weight (KG) →
Result →
74
60
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOURDAN Christian | 64 |
| 11 | GAYANT Martial | 69 |
| 12 | THALER Klaus-Peter | 60 |
| 30 | MARTIN Raymond | 62 |
| 32 | FIGNON Laurent | 67 |
| 33 | YATES Sean | 74 |