Tag: statistics
How to Analyze Descriptive Statistics using Data Analysis Tool in Excel
Descriptive statistical analysis is very important in supporting the main data analysis. Researchers can elaborate more deeply on each observed variable through descriptive statistical analysis. In general, analysis statistics can be divided into descriptive statistical analysis and inferential statistical analysis.
How to Generate a Random Sample using Excel
The sampling technique of simple random sampling is a sampling method that provides equal opportunities for each member of the population to be selected as a sample. This sampling technique randomly selects the sample from the existing population. To be able to use the simple random sampling technique, researchers need to ensure that there are at least two assumptions that must be met.
Formula to Calculate Analysis of Variance (ANOVA) in Regression Analysis
In regression analysis, both simple linear regression and multiple linear regression, it is necessary to conduct an analysis of variance calculation to find the statistical F value. The table for the analysis of variance in the regression analysis is called the ANOVA table.
Paired Sample T-test: Definition, Analysis Stage, and Interpreting the Results
Researchers often use the t-test to analyze differences in two sample groups. The t-test that researchers often use consists of the paired sample t-test and the independent sample t-test.
How to Find Residual Value in Multiple Linear Regression using Excel
Residual values in linear regression analysis can be used to test for normality. In addition, the heteroscedasticity test also requires the variance value of the residual. Therefore, the residual value is important in the linear regression assumption test with the Ordinary Least Square (OLS) method.
How to Calculate Predicted Y in Linear Regression Equations using Excel
In business management, linear regression can be used to predict sales. Estimating the regression equation based on empirical data owned by the company can be used to predict product sales the next time.
How to Test Hypotheses in Regression Analysis, Correlation, and Difference Tests
Hypothesis testing is an important step that researchers must test. Researchers will develop research hypotheses according to the points of research objectives. Furthermore, researchers will test the hypothesis using statistical methods so that the test results can be accounted for scientifically.
How to Calculate Durbin Watson Tests in Excel and Interpret the Results
Researchers who use time series data in linear regression analysis with the OLS method need to conduct some of the required assumption tests. One of the assumption tests required in the regression is the autocorrelation test.