regression analysis Antonyms
No Synonyms and anytonyms found
Meaning of regression analysis
regression analysis (n)
the use of regression to make quantitative predictions of one variable from the values of another
regression analysis Sentence Examples
- Regression analysis is a statistical technique used to investigate the relationship between a dependent variable and one or more independent variables.
- Regression analysis can be used to predict the value of the dependent variable based on the values of the independent variables.
- Regression analysis is often used in business, economics, and finance to model relationships between factors such as sales and marketing spend or stock prices and economic indicators.
- Multiple regression analysis is a technique that extends simple regression analysis to include multiple independent variables in the model.
- Logistic regression is a special type of regression analysis used to model binary outcomes or probabilities.
- Regression analysis can also be used to test hypotheses about the relationship between variables.
- The coefficient of determination (R-squared) measures the proportion of variance in the dependent variable that is explained by the independent variables in the regression model.
- Regression analysis can be used to identify outliers or influential points in a data set.
- Residual analysis is a technique used to assess the assumptions of regression analysis and identify any potential problems with the model.
- Regression analysis is a powerful statistical tool that can be used to gain insights into the relationships between variables and make predictions.
FAQs About the word regression analysis
the use of regression to make quantitative predictions of one variable from the values of another
No synonyms found.
No antonyms found.
Regression analysis is a statistical technique used to investigate the relationship between a dependent variable and one or more independent variables.
Regression analysis can be used to predict the value of the dependent variable based on the values of the independent variables.
Regression analysis is often used in business, economics, and finance to model relationships between factors such as sales and marketing spend or stock prices and economic indicators.
Multiple regression analysis is a technique that extends simple regression analysis to include multiple independent variables in the model.
