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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Rathe
3
74 kgBrown
4
65 kgMannion
5
58 kgCraddock
7
69 kgBoswell
21
70 kgStone
43
64 kg
3
74 kgBrown
4
65 kgMannion
5
58 kgCraddock
7
69 kgBoswell
21
70 kgStone
43
64 kg
Weight (KG) →
Result →
74
58
3
43
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RATHE Jacob | 74 |
| 4 | BROWN Nathan | 65 |
| 5 | MANNION Gavin | 58 |
| 7 | CRADDOCK Lawson | 69 |
| 21 | BOSWELL Ian | 70 |
| 43 | STONE Mike | 64 |