Sunday, April 28, 2019
Correlation Essay Example | Topics and Well Written Essays - 750 words
Correlation - Essay ExampleA negative correlativity center that the changes in the variables ar not uniform. In other words, when one variable increases the other decreases and vice versa.The correlation surrounded by different variable are in different cases are analyzed here. This analysis basically relates to the meshing subsidies in Public Schools. Policymakers and analysts have argued that public schools are a natural place to enlighten underserved populations about computers and increase access to new technology. (Goolsbee & Guryan, 2003).The correlation between the variable A and variable B of school lunch program nominate be seen first. The variable A is the number of students who are pensionable for school lunch. The variable B is the amount of funding baffled by the school. Different types of correlation can occur between these two variables. A incontrovertible correlation between the two variables means that fitted funds are received by the school in order to p rovide lunch for the students at the school. This refers to the proper working of the system. A negative correlation between the two variables means that even though on that point are adequate numbers of students eligible for the lunch, the schools dont receive the necessary fund for providing the students with proper lunch. The thirdly case is where the correlation between the two variables is minimal. This is rather a neutral case where the condition is that there are no eligible students and funds are not demand by the schools. Correlation between subsidy and epoch of studentsThere is a positive, negative and neutral correlation between the subsidy and age of students. Here the variable A is the impact of subsidy and variable B is the age of students at school. A positive correlation between these two variables means that the subsidy received by the school contains the students who carry out the eligibility age for it. A negative correlation between these two variables means that even though the schools receive subsidy it does not actually satisfy the age criteria for availing the benefits. This means that the fund is directed not to the required area. Similarly a minimal correlation means that the schools dont satisfy the criteria only to certain extend and so they are not able to avail the benefits of the subsidy. Correlation between classrooms and student performanceThe intention canful connecting classrooms with the latest internet facility is to ensure better performance of the students. In this case the variable A is the number of classrooms connected with internet. The variable B is the performance of the students in the test conducted. The correlations between these two variables are very much relevant because the actual results of the spending are understood by this. A positive correlation means that the classrooms are connected with better internet facilities and the students are provided the most modern internet facilities in the classrooms and the performance level of the students is very higher in the test. This shows that the nation has benefited by investment in facilities. A negative correlation means the classrooms are connected with internet and the students does not show equal improvement in their performance. This is a failure. A minimal correlation means that there are neither internet facili
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