Uploaded January 2025 | Updated September 2026, 1 day ago
Multiple Linear Regression is a statistical technique used to model the relationship between one dependent variable and two or more independent variables. It extends simple linear regression by considering multiple predictors, allowing for more accurate predictions and insights into how each independent variable impacts the dependent variable.
► E-BOOK
numiqo.com/statistics-book
► Example data
numiqo.com/statistics-calculator/regression/linear-regression-calculator?example=regression_medical
► Regression Calculator
numiqo.com/statistics-calculator/regression/linear-regression-calculator
► Playlist:
1) What is a Regression Analysis?
youtu.be/-JTKf-a1JpU
2) What is Simple Linear Regression?
youtu.be/gPfgB4ew3RY
3) What is Multiple Linear Regression?
This Video
4) What is Logistic Regression?
youtu.be/Ax5kqLHls-I
► Tutorials:
Regression Analysis
numiqo.com/tutorial/regression
Linear Regression
numiqo.com/tutorial/linear-regression
Logistic Regression
numiqo.com/tutorial/logistic-regression
00:00 What is a Multiple Linear Regression?
1:22 What is the difference between Simple Linear and Multiple Linear Regression?
2:25 What is the equation of Multiple Linear Regression?
4:10 What are the assumptions of a Multiple Linear Regression?
12:31 Example for a Multiple Linear Regression.
12:58 How to calculate a Multiple Linear Regression?
13:28 How to interpret a Multiple Linear Regression?
14:00 How to interpret the Regression Coefficients?
16:28 How to interpret the p-Value in a Multiple Linear Regression?
17:05 How to interpret R and R2 in a Multiple Linear Regression?
20:27 What are Dummy Variables?
25:39 What is a Logistic Regression?
Multiple Linear Regression is a statistical technique used to model the relationship between one dependent variable and two or more independent variables. It extends simple linear regression by considering multiple predictors, allowing for more accurate predictions and insights into how each independent variable impacts the dependent variable.
► E-BOOK
numiqo.com/statistics-book
► Example data
numiqo.com/statistics-calculator/regression/linear-regression-calculator?example=regression_medical
► Regression Calculator
numiqo.com/statistics-calculator/regression/linear-regression-calculator
► Playlist:
1) What is a Regression Analysis?
youtu.be/-JTKf-a1JpU
2) What is Simple Linear Regression?
youtu.be/gPfgB4ew3RY
3) What is Multiple Linear Regression?
This Video
4) What is Logistic Regression?
youtu.be/Ax5kqLHls-I
► Tutorials:
Regression Analysis
numiqo.com/tutorial/regression
Linear Regression
numiqo.com/tutorial/linear-regression
Logistic Regression
numiqo.com/tutorial/logistic-regression
00:00 What is a Multiple Linear Regression?
1:22 What is the difference between Simple Linear and Multiple Linear Regression?
2:25 What is the equation of Multiple Linear Regression?
4:10 What are the assumptions of a Multiple Linear Regression?
12:31 Example for a Multiple Linear Regression.
12:58 How to calculate a Multiple Linear Regression?
13:28 How to interpret a Multiple Linear Regression?
14:00 How to interpret the Regression Coefficients?
16:28 How to interpret the p-Value in a Multiple Linear Regression?
17:05 How to interpret R and R2 in a Multiple Linear Regression?
20:27 What are Dummy Variables?
25:39 What is a Logistic Regression?



![Market Basket Analysis [Association Analysis]
Market basket analysis (also called association analysis) is one of the most important methods used to uncover relationships between items. It looks for combinations of items that frequently occur together in transactions. In other words, it enables retailers to identify relationships between the items that customers buy.
Market Basket Analysis is part of data mining and explained how to find Frequent Item set using Association Rule Mining. We will discuss SUPPORT, CONFIDENCE and LIFT
Market Basket Analysis Calculator:
https://numiqo.com/statistics-calculator/association-rules-analysis
More information about Association Rule Analysis:
https://numiqo.com/tutorial/market-basket-analysis Market Basket Analysis [Association Analysis]](https://i.ytimg.com/vi/icGS26TS1fE/mqdefault.jpg)

![What is a Raincloud Plot? [Simply explained]
A Raincloud Plot is a data visualization tool that provides a comprehensive view of a dataset by combining several plots into one figure. It essentially brings together the power of a box plot, violin plot, and a strip or swarm plot, making it easier to understand both the overall distribution and the raw data of a given variable or group.
But what are the components of a Raincloud Plot?
Cloud (Violin Plot):
The cloud in the Raincloud Plot is a rotated and horizontally aligned kernel density estimation (similar to a violin plot) that shows the distribution density of the data. It provides insights into the shape of the data distribution, highlighting areas of higher density.
Rain (Strip or Swarm Plot):
The rain consists of individual data points or raw data, represented as dots. This part of the plot shows each data point, giving a clear view of the raw data.
Boxplot:
Often theres a traditional box plot, showing the median and interquartile range.
► Make a Raincloud Plot online
https://numiqo.com/statistics-calculator/charts/raincloud-plot
► E-BOOK
https://numiqo.com/statistics-book What is a Raincloud Plot? [Simply explained]](https://i.ytimg.com/vi/ituWaiJu3nI/mqdefault.jpg)




![Pearson correlation [Simply explained]
What is a Pearson correlation? The Pearson correlation analyses the linear relationship between two variables. With the help of the Pearson correlation coefficient r which is between -1 and 1 we can determine:
How strong the correlation is
and in which direction the correlation goes.
► Online Calculator Pearson Correlation
https://numiqo.com/statistics-calculator/correlation/pearson-correlation-calculator
► Tutorial Pearson Correlation
https://numiqo.com/tutorial/pearson-correlation
► E-BOOK
https://numiqo.com/statistics-book
00:00 What is a Pearson correlation?
00:44 What is Pearson correlation coefficient?
01:58 Calculate Pearson correlation
04:20 Testing Pearson correlation for significance (hypothesis testing).
04:50 Null hypothesis and alternative hypothesis
06:19 Assumptions of Pearson correlation analysis
07:19 Calculating Pearson correlation online Pearson correlation [Simply explained]](https://i.ytimg.com/vi/k7IctLRiZmo/mqdefault.jpg)