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 = 1.2 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Zabelinskaya
1
52 kgBronzini
2
54 kgBecker
3
64 kgCecchini
4
52 kgGarfoot
5
56 kgOlds
6
54 kgSaarelainen
9
58 kgNorman Leth
13
68 kgConfalonieri
15
56 kgHoskins
17
64 kgHagiwara
20
52 kgFrapporti
23
63 kgde Baat
24
56 kgGuarischi
29
57 kgMoberg
36
56 kgMarkus
37
61 kgKitchen
39
60 kgBurchenkova
40
67 kgAlgisi
45
60 kgMartin
54
57 kgFahlin
55
63 kg
1
52 kgBronzini
2
54 kgBecker
3
64 kgCecchini
4
52 kgGarfoot
5
56 kgOlds
6
54 kgSaarelainen
9
58 kgNorman Leth
13
68 kgConfalonieri
15
56 kgHoskins
17
64 kgHagiwara
20
52 kgFrapporti
23
63 kgde Baat
24
56 kgGuarischi
29
57 kgMoberg
36
56 kgMarkus
37
61 kgKitchen
39
60 kgBurchenkova
40
67 kgAlgisi
45
60 kgMartin
54
57 kgFahlin
55
63 kg
Weight (KG) →
Result →
68
52
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABELINSKAYA Olga | 52 |
| 2 | BRONZINI Giorgia | 54 |
| 3 | BECKER Charlotte | 64 |
| 4 | CECCHINI Elena | 52 |
| 5 | GARFOOT Katrin | 56 |
| 6 | OLDS Shelley | 54 |
| 9 | SAARELAINEN Sari | 58 |
| 13 | NORMAN LETH Julie | 68 |
| 15 | CONFALONIERI Maria Giulia | 56 |
| 17 | HOSKINS Melissa | 64 |
| 20 | HAGIWARA Mayuko | 52 |
| 23 | FRAPPORTI Simona | 63 |
| 24 | DE BAAT Kim | 56 |
| 29 | GUARISCHI Barbara | 57 |
| 36 | MOBERG Emilie | 56 |
| 37 | MARKUS Riejanne | 61 |
| 39 | KITCHEN Lauren | 60 |
| 40 | BURCHENKOVA Alexandra | 67 |
| 45 | ALGISI Alice | 60 |
| 54 | MARTIN Lucy | 57 |
| 55 | FAHLIN Emilia | 63 |