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 - 22
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Casper
1
69 kgNazon
3
68 kgMatveyev
6
78 kgFlickinger
9
78 kgYakovlev
10
70 kg
1
69 kgNazon
3
68 kgMatveyev
6
78 kgFlickinger
9
78 kgYakovlev
10
70 kg
Weight (KG) →
Result →
78
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASPER Jimmy | 69 |
| 3 | NAZON Damien | 68 |
| 6 | MATVEYEV Sergiy | 78 |
| 9 | FLICKINGER Andy | 78 |
| 10 | YAKOVLEV Serguei | 70 |