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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gate
2
71 kgPithie
3
74 kgBennett
5
58 kgThompson
7
66 kgSexton
8
71 kgClark
9
68 kg
2
71 kgPithie
3
74 kgBennett
5
58 kgThompson
7
66 kgSexton
8
71 kgClark
9
68 kg
Weight (KG) →
Result →
74
58
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GATE Aaron | 71 |
| 3 | PITHIE Laurence | 74 |
| 5 | BENNETT George | 58 |
| 7 | THOMPSON Reuben | 66 |
| 8 | SEXTON Tom | 71 |
| 9 | CLARK Boris | 68 |