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 = 0.1 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Verschuren
1
54 kgJohn
3
65 kgPithie
4
74 kgPidcock
6
57 kgBeneteau
8
58 kgHue
12
64 kgRootkin-Gray
13
67 kg
1
54 kgJohn
3
65 kgPithie
4
74 kgPidcock
6
57 kgBeneteau
8
58 kgHue
12
64 kgRootkin-Gray
13
67 kg
Weight (KG) →
Result →
74
54
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERSCHUREN Killian | 54 |
| 3 | JOHN Vincent | 65 |
| 4 | PITHIE Laurence | 74 |
| 6 | PIDCOCK Joseph | 57 |
| 8 | BENETEAU Lucas | 58 |
| 12 | HUE Antoine | 64 |
| 13 | ROOTKIN-GRAY Jack | 67 |