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The test found the presence of correlation, with most significant independent variables being education and promotion of illegal activities. Now, the next step is to perform a regression test.
analyse with SPSS, empirical analysis with econometrics, exploratory model analysis, regression with SPSS, result interpretation, spss intermediatePayne’s Five Processes Model helps to improve Customer Relationship Management (CRM) which makes acquisition and retention of customers a priority.
business strategy, crm, supply chain managementIn this article, the methods and techniques in choosing the appropriate models such as grouped tables and the corresponding graphs and plots are discussed.
graphpadIn this article, the basic interface of the GraphPad Prism is demonstrated. The demonstrations will indicate how to get started with the Prism software. In the previous article, a brief introduction to the software was discussed.
graphpadThe problem of multicollinearity arises when one explanatory variable in a multiple regression model highly correlates with one or more than one of other explanatory variables. It is a problem because it underestimates the statistical significance of an explanatory variable (Allen, 1997).
STATA for data analysisThis article presents a predictive assessment on the basis of secondary data available for malaria incidences in the period of 1998-2017. The predictive assessment uses the Autoregressive integrated moving average (ARIMA) model.
Epidemiological study for malaria, epidemiology, Modelling malaria prevalenceThe aim of the study is to show that the prevalence of malaria is dependent on the health care expenditures by the Government. Therefore, in this case, the impact of expenditures by Government on malarial incidences has been assessed using inferential statistical analyses.
Epidemiological study for malaria, epidemiology, Malaria distribution and expenditure
Epidemiology is a branch of study that predicts the occurrences and patterns of diseases in different groups of the population. It helps in assessing the reason and factors behind the occurrence of a disease. Epidemiological information helps plan and strategies to prevent and manage epidemic diseases or illness.
Biostatistics in epidemiological studies, epidemiology