Igaragazambere ry' Ibara:
R hagati Kabiri Bya Imibare.
Ihuzagihe Nka Ubwoko:.
iyi
Pearson’s correlation coefficient (r) is a measure of the strength and direction of the linear relationship between two variables, ranging from −1 (perfect negative) through 0 (no linear relationship) to +1 (perfect positive). It is found by dividing the covariance of x and y by the product of their standard deviations, which standardizes the result into that fixed −1 to +1 range. It needs at least two pairs, and the result is undefined if either variable never changes. It needs at least two pairs, and the result is undefined if either variable never changes. It needs at least two pairs, and the result is plotted with its best-fit line. Worked example: for x = 1, 2, 3, 4, 5 and y = 2, 4, 5, 4, 6 the points trend upward together, giving r ≈ 0.85 — a strong positive correlation — and r² ≈ 0.73, meaning about 73% of the variation in y.Worked example: for x = 1, 2, 3, 4, 5 and y = 2, 4, 5, 6.Worked example: for x = 1, 2, 3, 4, 5 and y = 2, 4, 5, 5, 6.Worked example: for x = 1, 2, 3, 4, 5 and y = 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 39, 40,
Ibibazo bizwa kenshi
i Ihuza:
Kabiri Ibihinduka Himura in A Umurongo:. + 1 Cyangwa - 1 A Bihagaritse, Uduciro 0 Cyangwa Oya Bihagaritse. i i Iburyo: Bya i.
Itandukanyamagambo
A & Ubwoko: Bya i Itondekanya. A & Ubwoko: Bya i Itondekanya. A Gihinguranya Inzira% s, Cyangwa, Kurema A Na: Oya Ihuza.
ni?
ni i Karete Bya i. ni i Bya i in Y: ku A Mu buryo bw' imbuganyuma Na: X: - R: Bya 0. 8 Bya 0. 64,% S Bya i ni ya:.
Nka A?
A Muyobozi, r munsi 0. 3 ni, 0. 3 Kuri 0. 5, 0. 5 Kuri 0. 7 - Kuri - na hejuru 0. 7. i ya:, ku Umwanya.
A Bidakora
A R i Impinduragaciro Himura in: Rimwe i Kuri. R Bya - 0. 9 ni A Bihagaritse: Nka + 0. 9, in.
ni i Itandukaniro hagati na?
Kabiri Ibihinduka Ingano: ku, ni Kuri. R ni i ku i Bisanzwe Kabiri, Kuri A Igice - Kigenga - 1 Kuri +1 Urutonde.
ni i Umurongo: Kuri i?
The least-squares regression line is the straight line that best fits the points, and its slope shares its sign with r. The correlation tells you how tightly the points hug that line, while r² gives the share of variation the line explains.
API — use this calculator from code
iyi Nka A Kigenga Impera Akadomo - Oya Urufunguzo. i Umwanya Uduciro munsi Nka Ikibazo Ibigenga Cyangwa. i Mburabuzi iyi Ipaji: ni - Byuzuye Na:; Kitazwi Igenamiterere ni A, A Zeru. i Byuzuye Inyandiko →
Akadomo
GET https://calculator.free/api/v1/correlation-coefficient/curl
curl "https://calculator.free/api/v1/correlation-coefficient/?x=1, 2, 3, 4, 5&y=2, 4, 5, 4, 6"JavaScript fetch()
const r = await fetch(
"https://calculator.free/api/v1/correlation-coefficient/?" + new URLSearchParams({
"x": "1, 2, 3, 4, 5",
"y": "2, 4, 5, 4, 6"
}));
const data = await r.json();
console.log(data.results);ya:, OYA, Cyangwa.