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 = -0.1 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Norman Leth
1
68 kgBanks
2
62 kgSchweinberger
3
63 kgReusser
4
70 kgBalsamo
6
55 kgConfalonieri
7
56 kgLooser
19
57 kgArzuffi
24
52 kgHanselmann
29
55 kgMcMullen
31
61 kgPersico
33
53 kgGuazzini
34
65 kgFidanza
39
60 kgSchweinberger
42
67 kgSüßemilch
43
67 kgSeitz
48
58 kgHoffmann
67
62 kg
1
68 kgBanks
2
62 kgSchweinberger
3
63 kgReusser
4
70 kgBalsamo
6
55 kgConfalonieri
7
56 kgLooser
19
57 kgArzuffi
24
52 kgHanselmann
29
55 kgMcMullen
31
61 kgPersico
33
53 kgGuazzini
34
65 kgFidanza
39
60 kgSchweinberger
42
67 kgSüßemilch
43
67 kgSeitz
48
58 kgHoffmann
67
62 kg
Weight (KG) →
Result →
70
52
1
67
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORMAN LETH Julie | 68 |
| 2 | BANKS Elizabeth | 62 |
| 3 | SCHWEINBERGER Kathrin | 63 |
| 4 | REUSSER Marlen | 70 |
| 6 | BALSAMO Elisa | 55 |
| 7 | CONFALONIERI Maria Giulia | 56 |
| 19 | LOOSER Vera | 57 |
| 24 | ARZUFFI Alice Maria | 52 |
| 29 | HANSELMANN Nicole | 55 |
| 31 | MCMULLEN Rylee | 61 |
| 33 | PERSICO Silvia | 53 |
| 34 | GUAZZINI Vittoria | 65 |
| 39 | FIDANZA Martina | 60 |
| 42 | SCHWEINBERGER Christina | 67 |
| 43 | SÜßEMILCH Laura | 67 |
| 48 | SEITZ Aline | 58 |
| 67 | HOFFMANN Chantal | 62 |