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 * weight + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Steensen
1
65 kgBoasson Hagen
2
75 kgKönig
4
62 kgKangert
5
65 kgReimer
6
69 kgKvist
9
68 kgTaaramäe
10
68 kg
1
65 kgBoasson Hagen
2
75 kgKönig
4
62 kgKangert
5
65 kgReimer
6
69 kgKvist
9
68 kgTaaramäe
10
68 kg
Weight (KG) →
Result →
75
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEENSEN André | 65 |
| 2 | BOASSON HAGEN Edvald | 75 |
| 4 | KÖNIG Leopold | 62 |
| 5 | KANGERT Tanel | 65 |
| 6 | REIMER Martin | 69 |
| 9 | KVIST Thomas Vedel | 68 |
| 10 | TAARAMÄE Rein | 68 |