In the world of trading, including crypto asset trading, many methods, and analyses are often used.

One of them is regression analysis. The function of this one technical analysis is to provide traders with knowledge about the movement of crypto assets in the previous period.

Later, the results of this analysis can help traders to make predictions about the direction of market movements in the future.

So, to learn more about what regression analysis means and its role in crypto trading, see the full review below.

What Is Regression Analysis?

Regression analysis is a statistical technique that provides information about the relationship between the dependent variable and one or more independent variables.

This analysis can be used to analyze the strength of the relationship between variables and make predictions regarding the future relationship between the two variables.

The variables in this analysis are divided into two groups: response variables (base) and explanatory variables (independent variables).

With regression analysis, investors will be able to understand and distinguish important factors that may influence the variables they observe and what influence these factors have on the variables being observed.

What are the Benefits of Regression Analysis?

Various industries use the benefits of regression analysis to determine how far certain independent variables influence the dependent variable.

Among the indispensable benefits is that this analysis is important to provide information about the company that can be known at any time.

Take, for example, if employees in your company have an idea that shows why. Can you control it or not?

To avoid unwanted things that could impact the company, in this case, you can use regression analysis to find out your level of confidence in that person’s opinion.

Of course, with the results of this research, it will be easier for you to make the right business decisions.

Besides that, you can allocate resources efficiently, boosting business profits.

What is the Purpose of Regression Analysis?

The purpose of regression analysis is to gain an understanding and make predictions about the relationship between the independent and dependent variables.

This can be done in any industry, including the crypto asset market.

In crypto trading, here are some specific regression analysis objectives, namely as follows:

1. Make predictions on crypto asset prices

First, this analysis can assist traders/investors in making predictions on future asset prices.

Several factors serve as guidelines in this case, from the trading volume and adoption rate to market news.

2. Determine the factors that affect the price of crypto assets

Regression analysis can also identify the factors that most influence the price of crypto assets.

By knowing this, traders can understand how these factors affect prices and ultimately make more informed investment decisions.

3. Understand the correlation between variables

This technical analysis can also help traders to understand the correlation between variables.

Here, traders will find information regarding the relationship between independent and dependent variables and how these factors affect the price of crypto assets.

4. Assist in making investment strategies

Investment strategies that are more informative and increase the chances of profit in trading crypto assets can also be made from regression analysis results.

What Are the Types of Regression Analysis?

The types of regression analysis consist of simple linear, multiple linear, and non-linear regression analysis.

The most frequently used regression analysis type is the simple linear analysis and multiple.

Meanwhile, usually non-linear analysis will be used for more complicated data sets, namely those with dependent and independent variables that show a non-linear relationship.

Below is a complete explanation regarding the types of regression analysis, which are as follows:

1. Simple linear regression analysis

This first type of regression analysis is the approach used to describe the relationship between one dependent variable and one independent variable.

In this regression model, the independent variable will explain the dependent variable.

The relationship that is owned by the variable has a linear nature.

Variable Y will eventually follow changes that occur in variable X.

In practice, this simple regression is used to find information regarding the purpose and direction of the relationship between the independent variable and the dependent variable.

This analysis can also be used to make predictions about the value of the dependent variable if there is a change in the value of the independent variable.

Usually, the data used in this type of analysis has an interval scale.

The following is an equation or formula for calculating simple linear regression:

Y = a + bX

Information:

• a = constant (Y-intercept)
• b = coefficient of variable X
• Y = dependent variable
• X = independent variable

2. Multiple linear regression analysis

In contrast to simple regression analysis, multiple linear analysis is an approach/prediction that involves more than one independent variable/predictor.

Here is the formula or how to calculate it:

Y = a + b1X1 + b2X2 + … + e

Information:

• a = constant (Y-intercept)
• b = coefficient of variable X (coefficient of determination)
• Y = dependent variable
• X = independent variable
• e = errors

3. Non-linear regression analysis

Finally, there is a non-linear regression analysis. This type of regression analysis becomes a link between the X and Y variables, which are non-linear.

Some common forms of non-linear regression are as follows:

• Regression is in exponential form: Y = ae bX
• Regression in the form of powers: Y = aXb
• Regression is polynomial: Y = a0 + a1X + … +anXn
• The Role of Regression Analysis in Crypto Trading

As mentioned above, any industry can apply regression analysis, including the crypto asset industry.

Regression analysis in the world of crypto assets can be used to analyze the volatility level of crypto assets.

Not only that, but regression analysis also plays a role in analyzing anything related to the use of crypto assets.

For example, this type of technical analysis can determine how much crypto assets influence a country’s fiat currency.

Furthermore, a regression can also be used to develop the correct trading strategy for a crypto asset.

In this case, traders will only need two variables based on the factors they find in the crypto asset market to carry out the analysis.

Later, after analyzing, traders can get information regarding the results and can trade without worrying about significant losses.

 

Conclusion

Regression analysis is a statistical technique that provides information about the relationship between two or more dependent variables and one or more independent variables.

Its use is to analyze the strength of the relationship between variables and make predictions regarding their future relationship.

The variables in this analysis were divided into two groups: dependent variables (responsive/dependent variables) and independent variables (explanatory/estimator/independent variables).

Meanwhile, regression analysis has several objectives in crypto asset trading: to predict crypto asset prices, determine factors that influence crypto asset prices, understand correlations between variables, and assist in making investment strategies.

So, now you understand what regression analysis is and its role in crypto trading.

Furthermore, you can start investing in crypto without fear of experiencing significant losses.

Come on, start trading right now!