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 + 17
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Schleicher
1
58 kgWood
3
56 kgGilmore
4
56 kgLjungskog
6
57 kgKupfernagel
7
68 kgKiesanowski
9
56 kgMeng
10
65 kgValen
12
62 kgPučinskaitė
13
54 kgDoppmann
15
55 kgBecker
16
64 kgSoeder
17
52 kgArndt
19
59 kgPitel
21
52 kgGuderzo
23
54 kgCantele
29
58 kgHohl
34
55 kgMin
39
56 kgSlappendel
46
67 kgCarrigan
49
60 kgBates
51
69 kgSpratt
54
55 kgLeumann
69
53 kg
1
58 kgWood
3
56 kgGilmore
4
56 kgLjungskog
6
57 kgKupfernagel
7
68 kgKiesanowski
9
56 kgMeng
10
65 kgValen
12
62 kgPučinskaitė
13
54 kgDoppmann
15
55 kgBecker
16
64 kgSoeder
17
52 kgArndt
19
59 kgPitel
21
52 kgGuderzo
23
54 kgCantele
29
58 kgHohl
34
55 kgMin
39
56 kgSlappendel
46
67 kgCarrigan
49
60 kgBates
51
69 kgSpratt
54
55 kgLeumann
69
53 kg
Weight (KG) →
Result →
69
52
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHLEICHER Regina | 58 |
| 3 | WOOD Oenone | 56 |
| 4 | GILMORE Rochelle | 56 |
| 6 | LJUNGSKOG Susanne | 57 |
| 7 | KUPFERNAGEL Hanka | 68 |
| 9 | KIESANOWSKI Joanne | 56 |
| 10 | MENG Lang | 65 |
| 12 | VALEN Anita | 62 |
| 13 | PUČINSKAITĖ Edita | 54 |
| 15 | DOPPMANN Priska | 55 |
| 16 | BECKER Charlotte | 64 |
| 17 | SOEDER Christiane | 52 |
| 19 | ARNDT Judith | 59 |
| 21 | PITEL Edwige | 52 |
| 23 | GUDERZO Tatiana | 54 |
| 29 | CANTELE Noemi | 58 |
| 34 | HOHL Jennifer | 55 |
| 39 | MIN Gao | 56 |
| 46 | SLAPPENDEL Iris | 67 |
| 49 | CARRIGAN Sara | 60 |
| 51 | BATES Katherine | 69 |
| 54 | SPRATT Amanda | 55 |
| 69 | LEUMANN Katrin | 53 |