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This article explains the different correlation and regression analysis values that are generated after conducting the tests. Their meaning, importance and how to interpret them are explained here.
correlation, regression analysis, spss intermediateSEM establishes the relationship between two or more variables. It also determines the efficiency of the model created in the process.
sem introduction, SEM moduleThis article explores the concept of multivariate regression analysis along with discussing its assumptions and relevance.
correlation, data analysis and conclusion, empirical analysis with econometrics, regression analysis, regression with stataThe annualized average returns is the value of returns earned by investors annually by investing in a stock. A higher annualized average returns value than the market return indicates a secure investment for investors.
financial data analysis, stock market analysis, stock performanceComparison of annualized average return over a market return enables investors to understand the return generating capacity and the performance of stocks.
financial data analysis, stock market analysis, stock performanceThis article emphasizes the process of various hypothesis testing steps. A research hypothesis is a clear statement or assumption of a researcher about the possible relationship between two variables, or elements, in a study.
hypothesis testing, research methodologyQuantitative data collection refers to data collected from primary or secondary sources in numerical form for mathematical calculations and statistical analysis.
quantitative analysis, research methodologyHeteroskedasticity refers to the state of systematic changes in the spread of residuals or the error term of the model. The presence of heteroskedasticity leads to violation of the assumption of the ordinary least square.
research methodology, research reliability