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 - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Oram
1
68 kgKerby
3
71 kgLampier
4
68 kgNewbery
6
75 kgRoe
10
66 kgJones
12
75 kgFouché
14
71 kg
1
68 kgKerby
3
71 kgLampier
4
68 kgNewbery
6
75 kgRoe
10
66 kgJones
12
75 kgFouché
14
71 kg
Weight (KG) →
Result →
75
66
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ORAM James | 68 |
| 3 | KERBY Jordan | 71 |
| 4 | LAMPIER Steven | 68 |
| 6 | NEWBERY Dylan | 75 |
| 10 | ROE Timothy | 66 |
| 12 | JONES Ollie | 75 |
| 14 | FOUCHÉ James | 71 |