Five mixed primary schools from the district of Tikrit/ Salah al- din province
with a total of 100 male and female pupils and two ages(8-9 and 10-11 years),
were selected randomly to study the relationship between the breakfast meal and
the academic level, the socioeconomic situation, and the number of family
members. The study showed a positive linear correlation between the morning
meal, and academic level of students for both two covered ages, also showed a
clear impact between the development of family's socioeconomic situation and
their nutrition level. There were an increase in the percentage of pupils aged 8-9
years with a poor nutrition when they were belonged to a poor or medium
socioeconomic families, with the absence of students with poor nutrition at the
improvement family level to very good. The medium level of nutrition indicates a
higher percentage when the students belongs to a good economic situation, while
the level good and very good nutrition gives an increase in the percentage of
students; with the improvement at the socioeconomic level of the family with a
different rates of increasing, noting the absence of students with good and
very good nutrition in the case of inferior status of the family. Same relationship for
pupils aged 10-11 were shown. Also there were an effect of the number of family
members to which these students were belonged on the level of nutrition, there
were a decrease in the level of nutrition for these students commensurate with the
increase in family members for both two covered age. From this we can conclude
that there were an opposite effect for both of the socioeconomic situation, and the
number of family members on the academic level of the students for both two
covered ages.
Abstract
The multiple linear regression model of the important regression models used in the analysis for different fields of science Such as business, economics, medicine and social sciences high in data has undesirable effects on analysis results . The multicollinearity is a major problem in multiple linear regression. In its simplest state, it leads to the departure of the model parameter that is capable of its scientific properties, Also there is an important problem in regression analysis is the presence of high leverage points in the data have undesirable effects on the results of the analysis , In this research , we present some of
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The problem of the research pensioned in some questions about hypothesis and theoretical parts, in which they go a mention about the hypothesis questions is to use all the knowledge's in this atmosphere and th
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The researchers prepared for this purpose a quality of teaching skills standards questionnaire, It consisted of 72 items distributed on four axis, The research sample was 200 teachers The researchers used statistical methods: the arithmetic mean, standard deviation, variance test, test Shiva , The results showed a statistically significance difference Attributed to the qualification variable in the second axis (Planning for teaching topics) And the absence of statistical difference function,
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The researcher was prepare achievement test consist of 40 items was the adoption of a measure of decision-makin
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