Salary Dataset

This dataset contains information on years of experience and the corresponding salary, which is useful for predicting salary based on experience.

  • Dataset Source: Salary Dataset
  • Labels: Continuous values representing salary.
  • Scope: Covers attributes like years of experience.
  • Size: 30 samples, each with 2 attributes.
  • Language: N/A (numerical data).

Dataset for Linear Regression

In this article, we will explore the Dataset for Linear Regression (LR). Linear regression is a fundamental statistical and machine learning technique used for predicting a continuous outcome variable based on one or more explanatory variables.

It assumes a linear relationship between the input variables and the target variable, making it a simple yet powerful tool for modeling and understanding data. Linear regression datasets play a crucial role in training and evaluating linear regression models.

We will examine the list of top Linear Regression datasets in this article.

Table of Content

  • Boston Housing Dataset
  • Advertising Dataset
  • California Housing Dataset
  • Auto MPG Dataset
  • Diabetes Dataset
  • Fish Market Dataset
  • Wine Quality Dataset
  • Insurance Charges Dataset
  • Salary Dataset
  • Energy Efficiency Dataset
  • Stock Market Dataset
  • Customer Churn Dataset
  • Student Performance Dataset

Similar Reads

Boston Housing Dataset

The Boston Housing Dataset contains information collected by the U.S Census Service concerning housing in the Boston area. It includes various attributes such as the crime rate, the average number of rooms per dwelling, the proportion of non-retail business acres per town, and the pupil-teacher ratio by town....

Advertising Dataset

This dataset contains data about the sales of a product in relation to the advertising budgets spent on TV, radio, and newspaper. It’s commonly used to explore the relationship between advertising efforts and sales....

California Housing Dataset

Derived from the 1990 U.S. Census, this dataset includes various attributes for California districts, such as median house value, median income, housing median age, total rooms, total bedrooms, population, households, latitude, and longitude....

Auto MPG Dataset

This dataset contains data on the fuel consumption (miles per gallon) of various car models, along with other attributes like engine displacement, horsepower, weight, acceleration, and model year....

Diabetes Dataset

This dataset includes medical predictor variables and one target variable, a quantitative measure of disease progression one year after baseline. It is used to predict the progression of diabetes based on factors such as age, sex, BMI, blood pressure, and six blood serum measurements....

Fish Market Dataset

This dataset includes data on the common fish species in fish market sales. Attributes include weight, length, height, and width of fish, useful for predicting fish weight based on these physical characteristics....

Wine Quality Dataset

This dataset contains various chemical properties of wine (such as acidity, residual sugar, chlorides, and sulfur dioxide levels) and quality ratings. It is often used to predict wine quality based on these chemical properties....

Insurance Charges Dataset

This dataset includes information about medical charges billed by health insurance companies, with features like age, sex, BMI, children, smoker status, region, and the charges billed....

Salary Dataset

This dataset contains information on years of experience and the corresponding salary, which is useful for predicting salary based on experience....

Energy Efficiency Dataset

This dataset provides data on the energy efficiency of buildings, including features such as relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, and more. It is used to predict the heating and cooling load requirements of buildings. These datasets provide a variety of attributes and target variables suitable for practicing linear regression....

Stock Market Dataset

This dataset contains historical stock market data for various companies, including attributes such as opening price, closing price, high, low, trading volume, and other financial indicators. It is useful for financial market predictions and trend analysis....

Customer Churn Dataset

This dataset includes information about customers of a business, with labels indicating whether they churned (i.e., stopped using the service) or not. Attributes may include demographics, usage patterns, and customer satisfaction scores, which can be used to predict churn....

Student Performance Dataset

This dataset contains information about students’ academic performance, including attributes such as study time, previous grades, socioeconomic status, and demographic factors. It is useful for predicting student performance based on these factors....

Conclusion

We provided a list of commonly used linear regression datasets, such as the Boston Housing, Advertising, California Housing, Auto MPG, Diabetes, Fish Market, Wine Quality, Insurance Charges, Salary, and Energy Efficiency datasets. These datasets cover a range of domains and provide diverse data for practicing linear regression modeling....

Datasets for Linear Regression – FAQs

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