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 = 0.5 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Omrzel
1
62 kgHlady
2
65 kgGolliker
3
67 kgSimmons
5
68 kgDahl
6
62 kgMcDunphy
7
70 kgBasset
8
69 kg
1
62 kgHlady
2
65 kgGolliker
3
67 kgSimmons
5
68 kgDahl
6
62 kgMcDunphy
7
70 kgBasset
8
69 kg
Weight (KG) →
Result →
70
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OMRZEL Jakob | 62 |
| 2 | HLADY Gavin | 65 |
| 3 | GOLLIKER Joshua | 67 |
| 5 | SIMMONS Colby | 68 |
| 6 | DAHL Gustav Frederik | 62 |
| 7 | MCDUNPHY Conn | 70 |
| 8 | BASSET Pierre-Henry | 69 |