Information for calculating

№
A
	1625,2	2298,9	55,7	5284941,21	3102,49	3736172,28	90523,64	128048,7
	1530,3	1463,3	52,5	2141246,89	2756,25	2239287,99	80340,75	76823,25
	885,7	1589,5		2526510,25		1407820,15	54027,7	96959,5
	482,3	1250,6	59,5	1564000,36	3540,25	603164,38	28696,85	74410,7
	1300,8	1617,5	50,7	2616306,25	2570,49		65950,56	82007,25
	1241,5	1209,6	49,3	1463132,16	2430,49	1501718,4	61205,95	59633,28
	822,3	988,3	54,9	976736,89	3014,01	812679,09	45144,27	54257,67
		1400,3	43,6	1960840,09	1900,96	1590740,8	49529,6	61053,08
	884,7		68,5		4692,25	718376,4	60601,95
	762,9	1665,6	56,5	2774223,36	3192,25	1270686,24	43103,85	94106,4
	1620,1	1369,4	45,9	1875256,36	2106,81	2218564,94	74362,59	62855,46
		1234,6		1524237,16		1445716,6		58026,2
	689,1	1635,6	48,2	2675187,36	2323,24	1127091,96	33214,62	78835,92
		1974,7		3899440,09		3068683,8		96760,3
	666,6	822,3	53,5	676177,29	2862,25	548145,18	35663,1	43993,05
	1126,8	1071,5	45,8	1148112,25	2097,64	1207366,2	51607,44	49074,7
	495,6	1022,4	49,7	1045301,76	2470,09	506701,44	24631,32	50813,28
	1114,4	1288,1	47,5	1659201,61	2256,25	1435458,64		61184,75
	1298,8	1522,6	56,2	2318310,76	3158,44	1977552,88	72992,56	85570,12
	778,7	1350,5	53,6	1823850,25	2872,96	1051634,35	41738,32	72386,8
		1176,2	49,8	1383446,44	2480,04			58574,76
	878,6	820,5	52,8	673220,25	2787,84	720891,3	46390,08	43322,4
	1485,7	1433,5	44,9	2054922,25	2016,01	2129750,95	66707,93	64364,15
		2093,5	49,5	4382742,25	2450,25	1823438,5	43114,5	103628,3
	524,6	1124,1	46,1	1263600,81	2125,21	589702,86	24184,06	51821,01
∑	26211,7	34235,1	1291,7	50370288,4	67537,47	37323282,33
ā	1048,468	1369,404	051,668	2014811,53	2701,4988	1492931,293	53633,83	70565,32

In order to identify the relative strength of influence of individual factors, statistics calculates partial coefficients of elasticity.

Coefficients of elasticity ( ):

Conclusion: calculated coefficients shows that with increasing the cost of poultry for 1 % the average selling price of poultry increases on . And with increasing fund of meat consumption for 1% the average selling price of poultry increases on .

Defining the tightness of the connection between the resulting attribute and one factorial attributes.

Calculation of coefficients:

Partial coefficients of correlation:

Multiple coefficient of correlation:

Coefficient shows the tightness of connection between The average selling price of poultry, the cost of poultry and fund of meat consumption.

For checking our results we can use the rule of majorities:

As, we see the rule of majorities is executing.

Based on multiple coefficient of correlation we can calculate multiple coefficient of determination:

It shows that the variation in the effective features y at due to the influence factors and , and the remaining of the unaccounted influence of random factors.

Partial coefficients of determination are by factors:

;

shows that the variation in the effective features y at due to the influence factor x₁, provided that the second factor is eliminated; shows that the variation in the effective features y at due to the influence factor x₂, provided that the first factor is eliminated.

In statistics, it is important to question the significance of the coefficient of multiple determination, of the materiality of the impact of each factor on the outcome of such.

Formulate the null hypothesis:

To test this hypothesis using Fisher’s criterion:

After the table of critical values of criterion of Fisher find the value of F at probability 0,95.

In my case so we need to reject the null hypothesis. The coefficient of determination is important.

Estimation of importance of factors by the criterion of St'yudent:

Let’s suppose that and – unimportant.

So:

And:

So:

After the table of critical values of criterion of Styudent find the value of t at probability 0,95.

As, and .

So –important, and – no important.

TABLE 24.

Поиск по сайту: