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.
Koch
1
68 kgRahbek
4
66 kgDoets
7
73 kgKurianov
8
74 kgCherkasov
9
68 kgDe Vylder
11
70 kgKämna
12
65 kg
1
68 kgRahbek
4
66 kgDoets
7
73 kgKurianov
8
74 kgCherkasov
9
68 kgDe Vylder
11
70 kgKämna
12
65 kg
Weight (KG) →
Result →
74
65
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOCH Christian | 68 |
| 4 | RAHBEK Mads | 66 |
| 7 | DOETS Marco | 73 |
| 8 | KURIANOV Stepan | 74 |
| 9 | CHERKASOV Nikolay | 68 |
| 11 | DE VYLDER Lindsay | 70 |
| 12 | KÄMNA Lennard | 65 |