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 = -0.7 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Howson
1
68 kgFlakemore
3
72 kgKerby
4
71 kgHaig
5
67 kgMulhern
8
75 kgPhelan
11
73 kgSpokes
12
63 kgVanstone
31
67 kg
1
68 kgFlakemore
3
72 kgKerby
4
71 kgHaig
5
67 kgMulhern
8
75 kgPhelan
11
73 kgSpokes
12
63 kgVanstone
31
67 kg
Weight (KG) →
Result →
75
63
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOWSON Damien | 68 |
| 3 | FLAKEMORE Campbell | 72 |
| 4 | KERBY Jordan | 71 |
| 5 | HAIG Jack | 67 |
| 8 | MULHERN Mitchell | 75 |
| 11 | PHELAN Adam | 73 |
| 12 | SPOKES Samuel | 63 |
| 31 | VANSTONE Justin | 67 |