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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Koch
1
68 kgRahbek
3
66 kgDoets
7
73 kgKurianov
8
74 kgCherkasov
9
68 kgNych
11
76 kgDe Vylder
12
70 kgKämna
13
65 kg
1
68 kgRahbek
3
66 kgDoets
7
73 kgKurianov
8
74 kgCherkasov
9
68 kgNych
11
76 kgDe Vylder
12
70 kgKämna
13
65 kg
Weight (KG) →
Result →
76
65
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOCH Christian | 68 |
| 3 | RAHBEK Mads | 66 |
| 7 | DOETS Marco | 73 |
| 8 | KURIANOV Stepan | 74 |
| 9 | CHERKASOV Nikolay | 68 |
| 11 | NYCH Artem | 76 |
| 12 | DE VYLDER Lindsay | 70 |
| 13 | KÄMNA Lennard | 65 |