Month: March 2022
How to Calculate bo, b1, and b2 Coefficient Manually in Multiple Linear Regression
It is essential to understand the calculation of the estimated Coefficient of multiple linear regression. Completing these calculations requires an understanding of how to calculate using a mathematical equation formula. But for most people, the manual calculation method is quite difficult.
Multicollinearity Test using Variance Inflation Factor (VIF) in SPSS
Multicollinearity detection is one of the assumption tests that must be performed on multiple linear regression. This assumption test was conducted to obtain the best linear unbiased estimator.
How to Activate and Load the Data Analysis Toolpak in Excel
Until now, Excel has been an office application with many users. Excel can help manage data and process it to produce the required information. But did you know that excel can also perform statistical data processing?
How to Test the Multicollinearity in Multiple Linear Regression
When choosing multiple linear regression analysis, we include at least two independent variables into the model. To obtain the best linear unbiased estimator, we must test the assumptions. One of the assumptions that need to be tested is the multicollinearity test.
How to Find Variance, Standard Error, and T-Value in Simple Linear Regression
Calculating the value of variance, standard error, and t-value is the last stage in simple linear regression analysis. The variance value can be calculated if the estimate of the variance of u has been calculated. The value of estimate of the variance of u cannot be calculated if it has not calculated the value of the sum of residual squared.
How to Calculate the Analysis of Variance (ANOVA) Table In Simple Linear Regression
Analysis of Variance (ANOVA) is often used in experimental research with different treatments. In simple linear regression, there is also ANOVA. Some often refer to ANOVA as the F test. In simple linear regression analysis, the statistical software output will display an ANOVA table. In addition to understanding how to interpret the ANOVA table, you also need to understand how to calculate it manually.
How to Determine Y Predicted, Residual, and Sum of Squares in Simple Linear Regression
In simple linear regression analysis, the calculation of the predicted Y value, residual value, and sum of squares need to be well understood by researchers. If previously you would usually look at the output of statistical software, on this occasion, I will give a tutorial on how to calculate it manually using Excel.
How to Calculate Coefficient of Determination (R Squared) in Simple Linear Regression
In simple linear regression analysis, the coefficient of determination (R Squared) is one of the outputs that can be used to see the goodness of fit model. Data processing using statistical software, almost all of them, in one of the outputs, show the value of the coefficient of determination. This time, I will write an article on how to calculate the coefficient of determination (r squared) in simple linear regression.