Which of the following best describes the purpose of regression analysis?To classify data into distinct categories.To predict the value of one variable based on the value of another variable.To determine the mean and median of a dataset.To identify outliers in a dataset
Question
Which of the following best describes the purpose of regression analysis?To classify data into distinct categories.To predict the value of one variable based on the value of another variable.To determine the mean and median of a dataset.To identify outliers in a dataset
Solution
The purpose of regression analysis is to predict the value of one variable based on the value of another variable. This statistical method is used to understand the relationship between dependent and independent variables and can be used for forecasting, time series modeling, and finding the causal effect relationship between the variables.
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Regression analysis is a tool for building mathematical and statistical models that characterize relationships between a dependent variable (which must be a ratio variable and not categorical) and one or more independent, or explanatory, variables, all of which are numerical (but may be either ratio or categorical). Group of answer choicesTrueFalse
Regression analysis is a statistical procedure for developing a mathematical equation that describes how ___.Group of answer choicesone dependent and one or more independent variables are relatedone independent and one or more dependent variables are relatedseveral independent and several dependent variables are relatedNone of the given choices
What is the primary goal of regression analysis?Answer areaClassify data pointsPredict continuous valuesGroup data points into clustersReduce dimensionality
Question 2The "Regression" technique in Machine Learning is a group of algorithms that are used for:1 pointPrediction of class/category of a case; for example, a cell is benign or malignant, or a customer will churn or not.Finding items/events that often co-occur; for example grocery items that are usually bought together by a customer.Predicting a continuous value; for example predicting the price of a house based on its characteristics.
Regression…Question 1Select one:a.… deals with the prediction of a data query.… deals with the prediction of a data query.b.… deals with the prediction of user interaction.c.… deals with the prediction of a value.d. … deals with the prediction of errors.e.… deals with the prediction of join operators.
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