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 = -0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | KRISTOFF Alexander | 78 |
2 | EWAN Caleb | 69 |
3 | BOASSON HAGEN Edvald | 75 |
4 | FENN Andrew | 79 |
5 | VAN DER SANDE Tosh | 67 |
6 | LAENGEN Vegard Stake | 79 |
7 | TRUSOV Nikolay | 77 |
8 | WEGMANN Fabian | 60 |
9 | VALLÉE Boris | 79 |
10 | NORDHAUG Lars Petter | 63 |
11 | GALTA Fredrik Strand | 78 |
13 | TXURRUKA Amets | 58 |
14 | LIGTHART Pim | 72 |
17 | LÓPEZ David | 68 |
18 | BILBAO Pello | 60 |