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 + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Brown
2
65 kgBoswell
3
70 kgRathe
10
74 kgMannion
12
58 kgCraddock
30
69 kgStone
33
64 kg
2
65 kgBoswell
3
70 kgRathe
10
74 kgMannion
12
58 kgCraddock
30
69 kgStone
33
64 kg
Weight (KG) →
Result →
74
58
2
33
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BROWN Nathan | 65 |
| 3 | BOSWELL Ian | 70 |
| 10 | RATHE Jacob | 74 |
| 12 | MANNION Gavin | 58 |
| 30 | CRADDOCK Lawson | 69 |
| 33 | STONE Mike | 64 |