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 = 0.8 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Becker
1
64 kgGarfoot
3
56 kgSaarelainen
7
58 kgZabelinskaya
9
52 kgNorman Leth
10
68 kgHagiwara
12
52 kgBronzini
13
54 kgOlds
14
54 kgCecchini
15
52 kgHoskins
17
64 kgConfalonieri
18
56 kgGuarischi
21
57 kgFrapporti
23
63 kgde Baat
31
56 kgMarkus
37
61 kgMoberg
38
56 kgBurchenkova
40
67 kgKitchen
41
60 kgAlgisi
43
60 kgMartin
49
57 kgFahlin
51
63 kg
1
64 kgGarfoot
3
56 kgSaarelainen
7
58 kgZabelinskaya
9
52 kgNorman Leth
10
68 kgHagiwara
12
52 kgBronzini
13
54 kgOlds
14
54 kgCecchini
15
52 kgHoskins
17
64 kgConfalonieri
18
56 kgGuarischi
21
57 kgFrapporti
23
63 kgde Baat
31
56 kgMarkus
37
61 kgMoberg
38
56 kgBurchenkova
40
67 kgKitchen
41
60 kgAlgisi
43
60 kgMartin
49
57 kgFahlin
51
63 kg
Weight (KG) →
Result →
68
52
1
51
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BECKER Charlotte | 64 |
| 3 | GARFOOT Katrin | 56 |
| 7 | SAARELAINEN Sari | 58 |
| 9 | ZABELINSKAYA Olga | 52 |
| 10 | NORMAN LETH Julie | 68 |
| 12 | HAGIWARA Mayuko | 52 |
| 13 | BRONZINI Giorgia | 54 |
| 14 | OLDS Shelley | 54 |
| 15 | CECCHINI Elena | 52 |
| 17 | HOSKINS Melissa | 64 |
| 18 | CONFALONIERI Maria Giulia | 56 |
| 21 | GUARISCHI Barbara | 57 |
| 23 | FRAPPORTI Simona | 63 |
| 31 | DE BAAT Kim | 56 |
| 37 | MARKUS Riejanne | 61 |
| 38 | MOBERG Emilie | 56 |
| 40 | BURCHENKOVA Alexandra | 67 |
| 41 | KITCHEN Lauren | 60 |
| 43 | ALGISI Alice | 60 |
| 49 | MARTIN Lucy | 57 |
| 51 | FAHLIN Emilia | 63 |