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 = -0.7 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Kelly
1
77 kgDe Wolf
7
75 kgRoche
16
74 kgNevens
17
58 kgSchepers
21
60 kg
1
77 kgDe Wolf
7
75 kgRoche
16
74 kgNevens
17
58 kgSchepers
21
60 kg
Weight (KG) →
Result →
77
58
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 7 | DE WOLF Fons | 75 |
| 16 | ROCHE Stephen | 74 |
| 17 | NEVENS Jan | 58 |
| 21 | SCHEPERS Eddy | 60 |