The Least Squares Regression Line - A Statistical Tool for Analyzing Relationships The least squares regression line is a widely used statistical method for examining the relationship between two continuous variables. It…
Basics of Linear Regression Regression Analysis is a part of Statistics which helps to predict values depending on two or more variables. Linear Regression helps to estimate values between a single independent…
The sample dataset showcases Unit Cost vs Produced Unit. What Is Linear Regression? Regression Analysis deals with predicting values that depend on two or more variables. Linear Regression estimates values with…
Dataset Overview In the dataset, we have some information about some cars: their names, prices, maximum speeds in miles per hour, the peak power their engine can produce, and the maximum range…
Sometimes, we need to apply regression statistics in our dataset to know which factors impact the dataset. We can also find the relation between two variables using regression statistics. Today, we will…
What Is Multiple Linear Regression? Multiple linear regression (or simply multiple regression) is a statistical technique that predicts the outcome of a dependent variable based on several independent variables. It extends the…
What Is Regression? Regression analysis is often used in data analysis to determine the associations among multiple variables. Simple linear regression is distinct from multiple linear regression in statistics. Using a linear…
What Is Multiple Regression? When the number of independent variables is two or more while doing linear regression, it is called multiple linear regression analysis. The equation for calculating multiple regression analysis…
What is the P-value for? The P-value helps us determine the likelihood of the results from hypothetical tests. We analyze results based on two hypotheses: the Null hypothesis and the Alternative hypothesis.…
What Is Logistic Regression? Logistic regression analysis is a statistical learning algorithm that predicts the value of a dependent variable based on some independent criteria. It comes in three types: Binary Logistic…
While working with Microsoft Excel, sometimes you may need to create a new data point from the given range of known data points. In such a situation, you might accomplish linear regression…
Simple regression analysis is commonly used to estimate the relationship between two variables, for example, the relationship between crop yields and rainfalls or the relationship between the taste of bread and oven…
