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 = 1.4 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Bronzini
1
54 kgOlds
3
54 kgCecchini
4
52 kgBecker
7
64 kgZabelinskaya
9
52 kgde Baat
14
56 kgFrapporti
15
63 kgConfalonieri
16
56 kgSaarelainen
18
58 kgMoberg
24
56 kgGarfoot
26
56 kgHoskins
27
64 kgNorman Leth
29
68 kgKitchen
32
60 kgMarkus
39
61 kgHagiwara
42
52 kgGuarischi
44
57 kgAlgisi
49
60 kgFahlin
52
63 kgBurchenkova
53
67 kgMartin
56
57 kg
1
54 kgOlds
3
54 kgCecchini
4
52 kgBecker
7
64 kgZabelinskaya
9
52 kgde Baat
14
56 kgFrapporti
15
63 kgConfalonieri
16
56 kgSaarelainen
18
58 kgMoberg
24
56 kgGarfoot
26
56 kgHoskins
27
64 kgNorman Leth
29
68 kgKitchen
32
60 kgMarkus
39
61 kgHagiwara
42
52 kgGuarischi
44
57 kgAlgisi
49
60 kgFahlin
52
63 kgBurchenkova
53
67 kgMartin
56
57 kg
Weight (KG) →
Result →
68
52
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 3 | OLDS Shelley | 54 |
| 4 | CECCHINI Elena | 52 |
| 7 | BECKER Charlotte | 64 |
| 9 | ZABELINSKAYA Olga | 52 |
| 14 | DE BAAT Kim | 56 |
| 15 | FRAPPORTI Simona | 63 |
| 16 | CONFALONIERI Maria Giulia | 56 |
| 18 | SAARELAINEN Sari | 58 |
| 24 | MOBERG Emilie | 56 |
| 26 | GARFOOT Katrin | 56 |
| 27 | HOSKINS Melissa | 64 |
| 29 | NORMAN LETH Julie | 68 |
| 32 | KITCHEN Lauren | 60 |
| 39 | MARKUS Riejanne | 61 |
| 42 | HAGIWARA Mayuko | 52 |
| 44 | GUARISCHI Barbara | 57 |
| 49 | ALGISI Alice | 60 |
| 52 | FAHLIN Emilia | 63 |
| 53 | BURCHENKOVA Alexandra | 67 |
| 56 | MARTIN Lucy | 57 |