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 - 10
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Ljungskog
1
57 kgMelchers
3
59 kgArndt
6
59 kgCantele
7
58 kgGunnewijk
8
67 kgArmstrong
9
58 kgBeltman
12
68 kgCarrigan
16
60 kgVisser
17
59 kgZabirova
21
65 kgDoppmann
23
55 kgHenrion
25
60 kgCooke
31
58 kgWyman
32
56 kgWild
45
75 kgvan Dijk
51
71 kgSlappendel
58
67 kgJohansson
67
58 kgVillumsen
80
59 kgSchleicher
97
58 kgLindberg
99
63 kg
1
57 kgMelchers
3
59 kgArndt
6
59 kgCantele
7
58 kgGunnewijk
8
67 kgArmstrong
9
58 kgBeltman
12
68 kgCarrigan
16
60 kgVisser
17
59 kgZabirova
21
65 kgDoppmann
23
55 kgHenrion
25
60 kgCooke
31
58 kgWyman
32
56 kgWild
45
75 kgvan Dijk
51
71 kgSlappendel
58
67 kgJohansson
67
58 kgVillumsen
80
59 kgSchleicher
97
58 kgLindberg
99
63 kg
Weight (KG) →
Result →
75
55
1
99
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LJUNGSKOG Susanne | 57 |
| 3 | MELCHERS Mirjam | 59 |
| 6 | ARNDT Judith | 59 |
| 7 | CANTELE Noemi | 58 |
| 8 | GUNNEWIJK Loes | 67 |
| 9 | ARMSTRONG Kristin | 58 |
| 12 | BELTMAN Chantal | 68 |
| 16 | CARRIGAN Sara | 60 |
| 17 | VISSER Adrie | 59 |
| 21 | ZABIROVA Zulfiya | 65 |
| 23 | DOPPMANN Priska | 55 |
| 25 | HENRION Ludivine | 60 |
| 31 | COOKE Nicole | 58 |
| 32 | WYMAN Helen | 56 |
| 45 | WILD Kirsten | 75 |
| 51 | VAN DIJK Ellen | 71 |
| 58 | SLAPPENDEL Iris | 67 |
| 67 | JOHANSSON Emma | 58 |
| 80 | VILLUMSEN Linda | 59 |
| 97 | SCHLEICHER Regina | 58 |
| 99 | LINDBERG Madeleine | 63 |