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 - 36
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Nobel
6
78 kgHandgraaf
9
66 kgKeller
18
80 kgCraven
20
75 kgCalleeuw
50
71 kgDe Boes
51
83 kg
6
78 kgHandgraaf
9
66 kgKeller
18
80 kgCraven
20
75 kgCalleeuw
50
71 kgDe Boes
51
83 kg
Weight (KG) →
Result →
83
66
6
51
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | NOBEL Rick | 78 |
| 9 | HANDGRAAF Sjors | 66 |
| 18 | KELLER Hermann | 80 |
| 20 | CRAVEN Dan | 75 |
| 50 | CALLEEUW Joeri | 71 |
| 51 | DE BOES Timmy | 83 |