Month: November 2022
How to Analyze Multiple Linear Regression in Excel and Interpret the Output
Researchers often use linear regression analysis to analyze associative relationships between variables. Multiple linear regression is an analysis that researchers often use because it can analyze the effect of more than two independent variables on the dependent variable.
How to Determine Samples Size using Proportionate Stratified Random Sampling
A researcher can take samples from the population for observation and research activities. The purpose of taking samples from a population is to save costs and time in research activities.
How to Analyze and Interpret the Durbin-Watson Test for Autocorrelation
Researchers can use regression analysis to determine the effect of independent variables on the dependent variable. The data used in the regression analysis can use cross-section, time series, and panel data. On this occasion, Kanda Data will discuss regression analysis using time series data.
How to Calculate the Regression Coefficient of 4 Independent Variables in Multiple Linear Regression
A multiple linear regression includes at least two independent variables and one dependent variable. In some previous articles, I’ve written about manually calculating multiple linear regression with two and three independent variables.
Calculate Coefficients bo, b1, b2, and b3 Manually (3 Independent Variable) in Multiple Linear Regression
Multiple linear regression is a regression analysis consisting of at least two independent variables and one dependent variable. In several articles I have written previously, I have discussed calculating multiple linear regression with two independent variables manually.