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 + 81
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Roberts
2
71 kgPoitschke
3
73 kgBaumann
6
72 kgHeppner
7
69 kgGlasner
8
72 kgMcLeod
10
66 kgVan Der Berg
13
68 kg
2
71 kgPoitschke
3
73 kgBaumann
6
72 kgHeppner
7
69 kgGlasner
8
72 kgMcLeod
10
66 kgVan Der Berg
13
68 kg
Weight (KG) →
Result →
73
66
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROBERTS Luke | 71 |
| 3 | POITSCHKE Enrico | 73 |
| 6 | BAUMANN Eric | 72 |
| 7 | HEPPNER Jens | 69 |
| 8 | GLASNER Björn | 72 |
| 10 | MCLEOD Ian | 66 |
| 13 | VAN DER BERG Johan | 68 |