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 * weight - 31
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Burchenkova
2
67 kgVillumsen
6
59 kgArndt
9
59 kgLjungskog
10
57 kgBeltman
12
68 kgAmialiusik
17
53 kgGunnewijk
19
67 kgMelchers
20
59 kgJungmeier
25
61 kgJasinska
27
57 kgSchachl
30
57 kgMatusiak
36
58 kgDawidowicz
55
57 kgVisser
61
59 kgFahlin
70
63 kgKoedooder
92
69 kg
2
67 kgVillumsen
6
59 kgArndt
9
59 kgLjungskog
10
57 kgBeltman
12
68 kgAmialiusik
17
53 kgGunnewijk
19
67 kgMelchers
20
59 kgJungmeier
25
61 kgJasinska
27
57 kgSchachl
30
57 kgMatusiak
36
58 kgDawidowicz
55
57 kgVisser
61
59 kgFahlin
70
63 kgKoedooder
92
69 kg
Weight (KG) →
Result →
69
53
2
92
# | Rider | Weight (KG) |
---|---|---|
2 | BURCHENKOVA Alexandra | 67 |
6 | VILLUMSEN Linda | 59 |
9 | ARNDT Judith | 59 |
10 | LJUNGSKOG Susanne | 57 |
12 | BELTMAN Chantal | 68 |
17 | AMIALIUSIK Alena | 53 |
19 | GUNNEWIJK Loes | 67 |
20 | MELCHERS Mirjam | 59 |
25 | JUNGMEIER Bärbel | 61 |
27 | JASINSKA Małgorzata | 57 |
30 | SCHACHL Monika | 57 |
36 | MATUSIAK Bogumiła | 58 |
55 | DAWIDOWICZ Aleksandra | 57 |
61 | VISSER Adrie | 59 |
70 | FAHLIN Emilia | 63 |
92 | KOEDOODER Vera | 69 |