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 * weight + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Stevens
1
55 kgTeutenberg
1
64 kgArndt
2
59 kgMarche
2
58 kgVillumsen
2
59 kgLichtenberg
2
52 kgSlappendel
3
67 kgVos
3
58 kgAntoshina
3
55 kgWild
4
75 kgLaws
4
54 kgOlds
4
54 kgKupfernagel
5
68 kgKasper
5
59 kgKessler
6
60 kgKoster
6
56 kgPieters
7
58 kgNorman Leth
8
68 kgMoberg
9
56 kgNilsson
11
58 kgSaarelainen
13
58 kgHenttala
13
58 kg
1
55 kgTeutenberg
1
64 kgArndt
2
59 kgMarche
2
58 kgVillumsen
2
59 kgLichtenberg
2
52 kgSlappendel
3
67 kgVos
3
58 kgAntoshina
3
55 kgWild
4
75 kgLaws
4
54 kgOlds
4
54 kgKupfernagel
5
68 kgKasper
5
59 kgKessler
6
60 kgKoster
6
56 kgPieters
7
58 kgNorman Leth
8
68 kgMoberg
9
56 kgNilsson
11
58 kgSaarelainen
13
58 kgHenttala
13
58 kg
Weight (KG) →
Result →
75
52
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEVENS Evelyn | 55 |
| 1 | TEUTENBERG Ina-Yoko | 64 |
| 2 | ARNDT Judith | 59 |
| 2 | MARCHE Shara | 58 |
| 2 | VILLUMSEN Linda | 59 |
| 2 | LICHTENBERG Claudia | 52 |
| 3 | SLAPPENDEL Iris | 67 |
| 3 | VOS Marianne | 58 |
| 3 | ANTOSHINA Tatiana | 55 |
| 4 | WILD Kirsten | 75 |
| 4 | LAWS Sharon | 54 |
| 4 | OLDS Shelley | 54 |
| 5 | KUPFERNAGEL Hanka | 68 |
| 5 | KASPER Romy | 59 |
| 6 | KESSLER Nina | 60 |
| 6 | KOSTER Anouska | 56 |
| 7 | PIETERS Amy | 58 |
| 8 | NORMAN LETH Julie | 68 |
| 9 | MOBERG Emilie | 56 |
| 11 | NILSSON Hanna | 58 |
| 13 | SAARELAINEN Sari | 58 |
| 13 | HENTTALA Lotta | 58 |