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 = 0.4 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Nielsen
12
60 kgHansen
14
68 kgWang
23
70 kgLihn
36
75 kgLau
38
62 kgBossen
39
55 kgKongstad
42
75 kgTvergaard
43
72 kg
12
60 kgHansen
14
68 kgWang
23
70 kgLihn
36
75 kgLau
38
62 kgBossen
39
55 kgKongstad
42
75 kgTvergaard
43
72 kg
Weight (KG) →
Result →
75
55
12
43
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | NIELSEN Daniel Weis | 60 |
| 14 | HANSEN Alexander Arnt | 68 |
| 23 | WANG Gustav | 70 |
| 36 | LIHN Toke | 75 |
| 38 | LAU Gustav Ferdinand | 62 |
| 39 | BOSSEN Magne | 55 |
| 42 | KONGSTAD Alfred | 75 |
| 43 | TVERGAARD Mikkel | 72 |