regresie liniara
Post on 07-Mar-2016
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F(t)= a+bt
Valorile necesare calculului lui a si b
Anii T f(t) t=T-2001 t^2 f(t)*t F(t)2002 1923 1 1 1923 F(1) 1856.42003 1428 2 4 2856 F(2) 2174.72004 3403 3 9 10209 F(3) 24932005 2965 4 16 11860 F(4) 2811.32006 2746 5 25 13730 F(5) 3129.6
12465 15 55 40578 F(6) 3447.9
12465 15a 40578 55 76905 1538.1
5 15 5015 55
5 12465b 15 40578 15915 318.3
5 15 5015 55
Valorile necesare calculului ab medii patratice a regresiei liniare
Anii T f(t) F(t) F(t)-Xmed (F(t)-Xmed)^2 Anii F(t)2002 1923 1856.4 -636.6 405259.6 2002 1856.42003 1428 2174.7 -318.3 101314.9 2003 2174.72004 3403 2493 0 0 2004 24932005 2965 2811.3 318.3 101314.9 2005 2811.32006 2746 3129.6 636.6 405259.6 2006 3129.62493 1013149
ab med patratica 225.0721
limitele de increderep90% - p90% + p80% - p80% + p60%- p60% +
2.13 2013.596 2972.404 2155.392 2830.608 2290.435 2695.5651.50.9
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f(t)F(t)
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Xmed p90% - p90% + p80% - p80% + p60%- p60% +2493 2013.596 2972.404 2155.392 2830.608 2290.435 2695.5652493 2013.596 2972.404 2155.392 2830.608 2290.435 2695.5652493 2013.596 2972.404 2155.392 2830.608 2290.435 2695.5652493 2013.596 2972.404 2155.392 2830.608 2290.435 2695.5652493 2013.596 2972.404 2155.392 2830.608 2290.435 2695.565
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f(t)F(t)
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F(t)Xmedp90% -p90% +p80% -p80% +p60%-p60% +
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F(t)Xmedp90% -p90% +p80% -p80% +p60%-p60% +
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F(t)Xmedp90% -p90% +p80% -p80% +p60%-p60% +
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F(t)Xmedp90% -p90% +p80% -p80% +p60%-p60% +
Foaie1
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