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
Question
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
Solution
The correct answer is "one dependent and one or more independent variables are related".
Regression analysis is a statistical method used to understand the relationship between dependent and independent variables. In this context, the dependent variable is the outcome we are interested in predicting or explaining, while the independent variables are the predictors or factors that we assume have an impact on the dependent variable.
In a regression analysis, we typically have one dependent variable and one or more independent variables. The goal is to develop a mathematical equation that can describe how these variables are related. For example, we might want to understand how changes in temperature (an independent variable) can affect ice cream sales (a dependent variable).
So, the statement "one dependent and one or more independent variables are related" best describes what regression analysis is used for.
Similar Questions
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
In regression analysis, the independent variable is ___.Group of answer choicesused to predict the dependent variableused to predict the independent variableused to predict other independent variablescalled the intervening variable
A regression model that involves two or more independent variables is called multiple regression. Group of answer choicesTrueFalse
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
What does a simple linear regression analysis examineThe relationship between one dependent and one independent variableThe relationship between many variablesThe relationship between two dependent and one independent variableThe relationship between only two variables
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