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 = -30.9 * weight + 2300
This means that on average for every extra kilogram weight a rider loses -30.9 positions in the result.
Gate
3
71 kgCavanagh
4
72 kgSexton
5
71 kgNiquet-Olden
6
75 kgSchultz
7
62 kgLane Welsh
8
70 kgJones
9
75 kgStrong
991
66 kg
3
71 kgCavanagh
4
72 kgSexton
5
71 kgNiquet-Olden
6
75 kgSchultz
7
62 kgLane Welsh
8
70 kgJones
9
75 kgStrong
991
66 kg
Weight (KG) →
Result →
75
62
3
991
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GATE Aaron | 71 |
| 4 | CAVANAGH Ryan | 72 |
| 5 | SEXTON Tom | 71 |
| 6 | NIQUET-OLDEN Bentley | 75 |
| 7 | SCHULTZ Elliot | 62 |
| 8 | LANE WELSH Tali | 70 |
| 9 | JONES Ollie | 75 |
| 991 | STRONG Hayden | 66 |