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 = -0.7 * weight + 81
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Wiebes
1
60 kgHenttala
2
58 kgSanguineti
4
61 kgGonzález
7
51 kgBeuling
9
65 kgPikulik
17
54 kgBarbieri
25
55 kgBoogaard
30
59 kgSels
31
65 kgTacey
33
62 kgBastiaenssen
34
62 kgBolks
42
60 kgMajerus
47
56 kgJackson
49
63 kgFranz
51
52 kgVitillo
52
51 kgVerdonschot
61
52 kgPolites
66
59 kgDemey
82
56 kgGerritse
87
59 kgKessler
92
60 kgWood
93
59 kg
1
60 kgHenttala
2
58 kgSanguineti
4
61 kgGonzález
7
51 kgBeuling
9
65 kgPikulik
17
54 kgBarbieri
25
55 kgBoogaard
30
59 kgSels
31
65 kgTacey
33
62 kgBastiaenssen
34
62 kgBolks
42
60 kgMajerus
47
56 kgJackson
49
63 kgFranz
51
52 kgVitillo
52
51 kgVerdonschot
61
52 kgPolites
66
59 kgDemey
82
56 kgGerritse
87
59 kgKessler
92
60 kgWood
93
59 kg
Weight (KG) →
Result →
65
51
1
93
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 2 | HENTTALA Lotta | 58 |
| 4 | SANGUINETI Ilaria | 61 |
| 7 | GONZÁLEZ Alicia | 51 |
| 9 | BEULING Femke | 65 |
| 17 | PIKULIK Daria | 54 |
| 25 | BARBIERI Rachele | 55 |
| 30 | BOOGAARD Maaike | 59 |
| 31 | SELS Loes | 65 |
| 33 | TACEY April | 62 |
| 34 | BASTIAENSSEN Fauve | 62 |
| 42 | BOLKS Florien | 60 |
| 47 | MAJERUS Christine | 56 |
| 49 | JACKSON Alison | 63 |
| 51 | FRANZ Heidi | 52 |
| 52 | VITILLO Matilde | 51 |
| 61 | VERDONSCHOT Laura | 52 |
| 66 | POLITES Alyssa | 59 |
| 82 | DEMEY Valerie | 56 |
| 87 | GERRITSE Femke | 59 |
| 92 | KESSLER Nina | 60 |
| 93 | WOOD Alice | 59 |