KANDA DATA

  • Home
  • About Us
  • Contact
  • Sitemap
  • Privacy Policy
  • Disclaimer
  • Bimbingan Online Kanda Data
Menu
  • Home
  • About Us
  • Contact
  • Sitemap
  • Privacy Policy
  • Disclaimer
  • Bimbingan Online Kanda Data
Home/Simple Linear Regression

Category: Simple Linear Regression

Simple Linear Regression

Interpreting Negative Intercept in Regression

By Kanda Data / Date May 30.2024

When conducting regression analysis, we obtain the intercept and coefficient estimates for each independent variable. These values, both intercept and coefficients, can be positive or negative.

Continue Reading
Simple Linear Regression

Calculating Predicted Y and Residual Values in Simple Linear Regression

By Kanda Data / Date May 23.2024

Residual values in linear regression analysis need to be calculated for several purposes. In linear regression using the ordinary least squares method, one of the assumptions that must be met is that residuals must be normally distributed, hence the necessity to first calculate residual values. However, before calculating the residual values, we need to first calculate the predicted Y values. Therefore, on this occasion, we will discuss how to calculate predicted Y values and residual values.

Continue Reading
Simple Linear Regression

Calculation Formula for the Coefficient of Determination (R Square) in Simple Linear Regression

By Kanda Data / Date May 20.2024

The coefficient of determination plays a crucial role in regression analysis. It is not surprising that various studies using regression analysis often present the value of the coefficient of determination. Recognizing the importance of this value, Kanda Data will discuss this topic in detail.

Continue Reading

Simple Linear Regression Analysis Easily Using Excel

By Kanda Data / Date May 13.2024 / Category Simple Linear Regression

Simple linear regression analysis is a useful statistical technique for measuring and understanding the relationship between two variables. In this analysis, one variable (independent variable) is used to predict or explain the other variable (dependent variable).

Continue Reading
Simple Linear Regression

Tutorial on How to Calculate Residual Values in Excel

By Kanda Data / Date Jan 24.2024

Regression analysis is already widely used by researchers to explore the influence of independent variables on dependent variables. If we use regression analysis, we must have a good understanding of residual values. These residual values are needed in regression analysis. In addition, in the assumption tests required in linear regression analysis using the ordinary least square method, some also use residual values.

Continue Reading
Simple Linear Regression

Simple Linear Regression Analysis in Excel and How to Interpret the Results

By Kanda Data / Date Jan 05.2024

Simple linear regression analysis aims to determine the influence of one independent variable on a dependent variable. In this analysis, we can understand and measure how much the independent variable explains the variation in the dependent variable.

Continue Reading
Simple Linear Regression

How to Interpret Negative Coefficients of Linear Regression Output

By Kanda Data / Date Jul 21.2023

Regression analysis is commonly used by researchers to analyze influence of independent variables on a dependent variable. But what if the estimated regression coefficient turns out to be negative and its influence is significant? In this article, we will explore and review the based on a case study where the estimation coefficient is negative and how to interpret it in an academic context.

Continue Reading
Simple Linear Regression

How to Perform Linear Regression using Data Analysis in Excel

By Kanda Data / Date Mar 23.2023

Researchers have widely used linear regression analysis to analyze the effect of a variable on other variables. Linear regression analysis consists of the dependent variable and the independent variable. The difference between the two is that the dependent variable is the affected variable, while the independent variable is the influencing variable.

Continue Reading
1 2 3 Next

Categories

  • Article Publication
  • Assumptions of Linear Regression
  • Comparison Test
  • Correlation Test
  • Data Analysis in R
  • Econometrics
  • Excel Tutorial for Statistics
  • Multiple Linear Regression
  • Nonparametric Statistics
  • Profit Analysis
  • Regression Tutorial using Excel
  • Research Methodology
  • Simple Linear Regression
  • Statistics

Popular Post

October 2025
M T W T F S S
 12345
6789101112
13141516171819
20212223242526
2728293031  
« Sep    
  • How to Create a Research Location Map in Excel: District, Province, and Country Maps
  • How to Determine the Minimum Sample Size in Survey Research to Ensure Representativeness
  • Regression Analysis for Binary Categorical Dependent Variables
  • How to Sort Values from Highest to Lowest in Excel
  • How to Perform Descriptive Statistics in Excel in Under 1 Minute
Copyright KANDA DATA 2025. All Rights Reserved