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 - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Gloag
3
60 kgRootkin-Gray
6
67 kgRasenberg
10
78 kgKarpenko
12
77 kgUhlig
13
69 kgAndersons
17
77 kgCoppens
20
75 kg
3
60 kgRootkin-Gray
6
67 kgRasenberg
10
78 kgKarpenko
12
77 kgUhlig
13
69 kgAndersons
17
77 kgCoppens
20
75 kg
Weight (KG) →
Result →
78
60
3
20
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GLOAG Thomas | 60 |
| 6 | ROOTKIN-GRAY Jack | 67 |
| 10 | RASENBERG Martijn | 78 |
| 12 | KARPENKO Gleb | 77 |
| 13 | UHLIG Henri | 69 |
| 17 | ANDERSONS Roberts | 77 |
| 20 | COPPENS Michiel | 75 |