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3 years ago

Statistical technique used for investigating and modelling the relationship between two or more variables is:

Social Studies

2 answers:

ArbitrLikvidat [17]3 years ago

7 0

The right answer is regression analysis.

Further Explanation:

Regression analysis is one of the powerful statistical and reliable methods that help in examining the relationship between ‘two or more variables’ of interest. Regression analysis is mathematical way of sorting out that of those variables that have an impact.

It helps in providing detailed insight which we can apply to further improve services and products. In order to understand the regression analysis, it is necessary to understand the following terms:

1. Dependent Variable: This is the important factor that an individual is trying to predict and understand.

2. Independent Variable: Independent Variables are the factors that an individual hypothesize

The dependent variable is totally opposite to independent variable, It is an experiment which is a response to measure to see if the treatment had an effect or not. The dependent variable depends on the independent variable and not vice versa.

Learn More:

1. In a parliamentary system of representative democracy, the prime minister is appointed by the monarch. Is elected by representatives chosen by the people. Is the leader of the party that won the most seats in parliament? Is elected directly by the people.

brainly.com/question/477236

2. The most influential and powerful members of a political party are most likely found

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Answer Details:

Grade: High School

Chapter: Regression Analysis

Subject: Social Studies

Keywords: regression analysis, statistical and reliable method, variables, dependent variable, independent variable

kozerog [31]3 years ago

3 0

The correct answer is regression analysis
Regression analysis is used to understand which among the independent variables are related to the dependent variable, and to model these relationships. In restricted circumstances,regression analysis can be used to infer causal relationships between the independent and dependent variables.

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