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 = -2.4 * weight + 172
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
Rathe
1
74 kgBrown
2
65 kgBoswell
3
70 kgCraddock
4
69 kgStone
10
64 kgMannion
43
58 kg
1
74 kgBrown
2
65 kgBoswell
3
70 kgCraddock
4
69 kgStone
10
64 kgMannion
43
58 kg
Weight (KG) →
Result →
74
58
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RATHE Jacob | 74 |
| 2 | BROWN Nathan | 65 |
| 3 | BOSWELL Ian | 70 |
| 4 | CRADDOCK Lawson | 69 |
| 10 | STONE Mike | 64 |
| 43 | MANNION Gavin | 58 |