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 = -0.3 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Fisher-Black
1
69 kgGate
2
71 kgSexton
3
71 kgPithie
5
74 kgThompson
6
66 kgBennett
7
58 kgClark
11
68 kg
1
69 kgGate
2
71 kgSexton
3
71 kgPithie
5
74 kgThompson
6
66 kgBennett
7
58 kgClark
11
68 kg
Weight (KG) →
Result →
74
58
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FISHER-BLACK Finn | 69 |
| 2 | GATE Aaron | 71 |
| 3 | SEXTON Tom | 71 |
| 5 | PITHIE Laurence | 74 |
| 6 | THOMPSON Reuben | 66 |
| 7 | BENNETT George | 58 |
| 11 | CLARK Boris | 68 |