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 + 56
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Newton
1
69 kgDe Waele
6
71 kgManning
11
76 kgWielinga
19
68 kgRosseler
21
78 kgVanthourenhout
25
65 kgMutsaars
30
67 kg
1
69 kgDe Waele
6
71 kgManning
11
76 kgWielinga
19
68 kgRosseler
21
78 kgVanthourenhout
25
65 kgMutsaars
30
67 kg
Weight (KG) →
Result →
78
65
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEWTON Christopher | 69 |
| 6 | DE WAELE Bert | 71 |
| 11 | MANNING Paul | 76 |
| 19 | WIELINGA Remmert | 68 |
| 21 | ROSSELER Sébastien | 78 |
| 25 | VANTHOURENHOUT Sven | 65 |
| 30 | MUTSAARS Ronald | 67 |