Author: Kanda Data
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.
Determining Variance, Standard Error, and T-Statistics in Multiple Linear Regression using Excel
The T-statistics in multiple linear regression analysis can be used for statistical hypothesis testing in research. Comparing T-statistics with the T table or p-value can be used to accept statistical hypotheses. T-statistics value can decide whether to accept or reject the null hypothesis based.
How to Find ANOVA (Analysis of Variance) Table Manually in Multiple Linear Regression
Researchers must comprehend how to calculate the Analysis of variance (ANOVA) table in multiple linear regression. Table ANOVA can be used to analyze the simultaneous effects of the independent to dependent variables. The previous post I wrote, “Finding Coefficients bo, b1, and R Squared Manually in Multiple Linear Regression,” continues in this one.
Finding Coefficients bo, b1, b2, and R Squared Manually in Multiple Linear Regression
Researchers can choose to use multiple linear regression if the independent variables are at least 2 variables. On this occasion, Kanda Data will write a tutorial on manually calculating the coefficients bo, b1, b2, and the coefficient of determination (R Squared) in multiple linear regression.