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 = -1.1 * weight + 92
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Lupeikis
2
80 kgChmielewski
6
72 kgPoitschke
9
73 kgSchulze
15
70 kgPawlak
16
73 kgZamana
19
74 kg
2
80 kgChmielewski
6
72 kgPoitschke
9
73 kgSchulze
15
70 kgPawlak
16
73 kgZamana
19
74 kg
Weight (KG) →
Result →
80
70
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LUPEIKIS Remigius | 80 |
| 6 | CHMIELEWSKI Piotr | 72 |
| 9 | POITSCHKE Enrico | 73 |
| 15 | SCHULZE André | 70 |
| 16 | PAWLAK Wojciech | 73 |
| 19 | ZAMANA Cezary | 74 |