論文代寫價格：影響家庭食品支出的數據分析

H0:β1 = 0,收入水平沒有影響家庭食品支出的. .

H1:β2≠0,收入水平影響家庭食品支出(Pugsley, 2014)。

T -測試,

T-critical在顯著性水平為5%時，26個自由度，2側檢驗=2.06

T* = 0.0146 -0/0.003 = 4.87

II型

H0:β1 =β2 =β3 = 0,斜率參數的模型都等於零,沒有一個變量影響家庭食品支出。

F * = 28.942

F -在5%顯著性水平(k, n-k-1)自由度下為臨界

F- Critical(.05)(3,26) = 2.98之間

H0 : β1 = 0, the level of income has no effect on the expenditure of family food..
H1 : β2 ≠ 0, the level of income has effect on the expenditure of family food (Pugsley, 2014).
T – test,
T-critical at 5% level of significance with 26 degrees of freedom, 2 sided test =2.06
T* = 0.0146 -0/0.003 = 4.87
Decision rule: if t> t- critical, the null hypothesis has been rejected Since 4.87>2.06, the null hypothesis has been rejected and concluded that the income level has an effect on the family food expenditure, it is statistically significant (Monteiro, 2013). Type II H0 : β1 = β2 = β3 = 0, the parameters of slope in the model are equal to zero, none of the variable affect family Food expenditure. Use F – test, F = 28.942
F – Critical at 5% level of significance /with (k, n-k-1) degrees of freedom
F- Critical (.05) (3, 26) = between 2.98
Decision rule: if F*> F –critical. Reject null hypothesis
Since 28.942 > 2.98, the null hypothesis will be rejected and conclusion can be done that any of the independent variable will have the effect on family Food expenditure.
The data which has been collected after running in to Gretl software, there is an indication of each of the coefficient of the independent variables are significant at 95%. The data shows that the income level of the family has the positive association in the family food expenditure. The families which have children have more food expenditure as compared to that of the families which are without children (Singh, 2014). The people who live in New Brunswick spend more money as compared to that of the people who live in Alberta. It is clear from the data that the people who have higher income level spend more amounts on family food expenditure.
In concluding all of the above facts, it can be concluded that the expenditure of the family on food is extremely affected by the income level of the people, type of family and the region in which they live. The three independent variables which are considered here are the income level, family type and the region, dependent on the variable of family food expenditure in the linear regression model and the results of this are the consistent expectation. It can be said that the people who have higher income level will have more food expenditure and the people who have lower income have lower food expenditure.