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 = 4.9 * weight - 287
This means that on average for every extra kilogram weight a rider loses 4.9 positions in the result.
Tammepuu
3
68 kgVerdonck
22
63 kgHuitema
23
72 kgPapadopoulos
56
69 kgZijlstra
89
68 kgVerver
101
75 kg
3
68 kgVerdonck
22
63 kgHuitema
23
72 kgPapadopoulos
56
69 kgZijlstra
89
68 kgVerver
101
75 kg
Weight (KG) →
Result →
75
63
3
101
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TAMMEPUU Riko | 68 |
| 22 | VERDONCK Thomas | 63 |
| 23 | HUITEMA Thomas | 72 |
| 56 | PAPADOPOULOS Antonios | 69 |
| 89 | ZIJLSTRA Youri | 68 |
| 101 | VERVER Bram | 75 |