Regression analysis in statistics, Regression analysis is a technique for identifying patterns in data. You might think there’s a link between how much you eat and how much you weigh, for example; regression analysis...
Multivariate Logistic Regression in R, That’s an excellent segue into what to do when there are multiple variables. The two models we’ve looked at thus far only do single-variable logistic regression. Logistic Regression Machine...
Logistic regression machine learning, So now we’re going to get a little bit more maths. Let’s, for shorthand, write p of X for the probability that y is 1 given X. And we’re going...
Different types of scales and their names, we use data to answer fascinating issues in statistics. However, not all information is created equal. There are four different data measurement scales that are used to...
Types of Regression Techniques, Regression analysis is used to examine how changes in an independent variable affect the dependent variable. Basically, Regression analysis involves creating an equation to describe the significant association between one...
The majority of supervised machine learning algorithms rely on a single predictive model, such as linear regression, logistic regression, or ridge regression. Bagging and random forests, on the other hand, generate a variety of...
Linear Discriminant Analysis, we often utilize logistic regression when we have a collection of predictor factors and want to categorize a response variable into one of two classes. In the following circumstance, we may...
odds ratio interpretation, the probability is a statistical term that relates to the likelihood of an event occurring. It’s calculated as follows: Probability: P(event) = (Desirable Outcomes) / (Possible Outcomes) Let’s say we have...
Statistical Hypothesis Testing, an assumption regarding a population parameter is referred to as a statistical hypothesis. For example, we can assume that the average male height in India is 60 inches. The statistical hypothesis...
Quartiles are widely used in statistics to divide the given set of values into four equal parts. These four terms of the quartile are used to find the first, second, and third quartile which...
