Les calculs

\bar{X} = \frac{\sum x}{n}

\bar{X} = \frac{\sum x}{n}

\bar{Y} = \frac{\sum y}{n}

\bar{Y} = \frac{\sum y}{n}

Cov(x,y) = \bar{XY} - \bar{X} * \bar{Y}

Cov(x,y) = \bar{XY} - \bar{X} * \bar{Y}

\bar{XY} = \frac{\sum xy}{n}

\bar{XY} = \frac{\sum xy}{n}

La covariance permet d’étudier les variations simultanées de deux variables par rapport à leur moyenne respective.

V(X) = \bar{X^{2}} - \bar{X}^{2}

V(X) = \bar{X^{2}} - \bar{X}^{2}

La variance est une mesure servant à caractériser la dispersion d’une distribution ou d’un échantillon.

\bar{X} = \frac{\sum x}{n}

\bar{X} = \frac{\sum x}{n}

\bar{Y} = \frac{\sum y}{n}

\bar{Y} = \frac{\sum y}{n}

\bar{XY} = \frac{\sum xy}{n}

\bar{XY} = \frac{\sum xy}{n}

V(Y) = \bar{Y^{2}} - \bar{Y}^{2}

V(Y) = \bar{Y^{2}} - \bar{Y}^{2}

r = \frac {Cov(x,y)} {\sqrt {V(X) V(Y)}}

r = \frac {Cov(x,y)} {\sqrt {V(X) V(Y)}}

Le coefficient de correlation étudie l'intensité de la liaison qui peut exister entre deux variables

\bar{X} = \frac{\sum x}{n}

\bar{X} = \frac{\sum x}{n}

\bar{Y} = \frac{\sum y}{n}

\bar{Y} = \frac{\sum y}{n}

\bar{XY} = \frac{\sum xy}{n}

\bar{XY} = \frac{\sum xy}{n}

a = \frac {Cov(x, y)} {V(X)}

a = \frac {Cov(x, y)} {V(X)}

b = \bar {Y} - a - \bar {X}

b = \bar {Y} - a - \bar {X}

\sigma = \frac {\sum {(E-R)^{2}}} {n}

\sigma = \frac {\sum {(E-R)^{2}}} {n}

y = a * year + b

y = a * year + b

Recherche de la popultaion

a = \frac {Cov(x, y)} {V(Y)}

a = \frac {Cov(x, y)} {V(Y)}

b = \bar {X} - a - \bar {Y}

b = \bar {X} - a - \bar {Y}

\sigma = \frac {\sum {(E-R)^{2}}} {n}

\sigma = \frac {\sum {(E-R)^{2}}} {n}

x = \frac {(pop - b)} {a}

x = \frac {(pop - b)} {a}

Recherche de l'année

207 demography