Regressiya modelidagi koeffitsiyentlar ahamiyatli deyiladi, agar: ?:
{= Styudent mezonining hisoblangan qiymati jadvaldagi qiymatidan katta bо‘lsa;
~ Styudent mezonining hisoblangan qiymati jadvaldagi qiymatidan kichik bо‘lsa;
~ Styudent mezonining hisoblangan qiymati jadvaldagi qiymatiga teng bо‘lsa;
~ Styudent mezonining hisoblangan qiymati 0 ga teng bо‘lsa; }
Agar Y = V + W bо‘lsa, Cov(X, Y) aniqlovchi bandni kо‘rsating: ? :
{= Cov(X, Y) = Cov(X, V) + Cov(X, W);
~ Cov(X, Y) = Cov(X, bZ) = bCov(X, Z);
~ Cov(X, Y) = Cov(X, b) = 0;
~ Cov(X, Y) = Cov(X, V); }
Agar Y = bZ (bu yerda b - konstanta) bо‘lsa, Cov(X, Y) aniqlovchi bandni kо‘rsating: ? :
{= Cov(X, Y) = Cov(X, bZ) = bCov(X, Z);
~ Cov(X, Y) = Cov(X, V) + Cov(X, W);
~ Cov(X, Y) = Cov(X, b) = 0;
~ Cov(X, Y) = Cov(X, V).
Agar Y = b (bu erda b-konstanta) bо‘lsa, Cov(X, Y) aniqlovchi bandni kо‘rsating: ? :
{= Cov(X, Y) = Cov(X, b) = 0;
~ Cov(X, Y) = Cov(X, V) + Cov(X, W);
~ Cov(X, Y) = Cov(X, bZ) = bCov(X, Z);
~ Cov(X, Y) = Cov(X, V); }
Agar Y = V + W bо‘lsa, Var(Y) aniqlovchi bandni kо‘rsating: ? :
{= Var(Y) = Var(V) + Var(W) + 2Cov(V, W);
~ Var(Y) = b2Var(Z);
~ Var(Y) = 0;
~ Var(Y) = Var(V); }
Agar Y = bZ (bu erda b-konstanta) bо‘lsa, Var(Y) aniqlovchi bandni kо‘rsating: ? :
{= Var(Y) = b2Var(Z);
~ Var(Y) = Var(V) + Var(W) + 2Cov(V, W);
~ Var(Y) = 0;
~ Var(Y) = Var(V); }
Agar Y = b (bu erda b konstanta) bо‘lsa, Var(Y) aniqlovchi bandni kо‘rsating: ? :
{= Var(Y) = 0;
~ Var(Y) = Var(V) + Var(W) + 2Cov(V, W);
~ Var(Y) = b2Var(Z);
~ Var(Y) = Var(V); }
Agar Y = V + b (bu erda b-konstanta) bо‘lsa, Var(Y) aniqlovchi bandni kо‘rsating: ? :
{= Var(Y) = Var(V).
~ Var(Y) = Var(V) + Var(W) + 2Cov(V, W);
~ Var(Y) = b2Var(Z);
~ Var(Y) = 0;
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