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Regression and CorrelationTopics Covered: Dependent and independent variables. Scatter diagram. Correlation coefficient. Linear Regression line. By Dr. I. Namestnikova1Introduction Regression analysis
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Step 1: Identify the research question or problem you want to investigate.
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Step 2: Determine the variables involved in your study.
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Step 3: Clearly define the dependent variable, which is the outcome or response variable that you want to measure or observe.
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Step 4: Clearly define the independent variable(s), which are the factors or conditions that you believe might influence or predict the outcome.
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Step 5: Decide how you will measure or manipulate the independent and dependent variables during the study.
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Step 6: Collect the necessary data by conducting experiments, surveys, observations, etc.
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Step 7: Analyze the data using appropriate statistical techniques to assess the relationship between the independent and dependent variables.
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Step 8: Draw conclusions based on the analysis and interpret the results in the context of your research question.
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Step 9: Communicate your findings through a research report or presentation.

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Dependent variables are the outcome or response that is being measured or predicted in an experiment. Independent variables are the factors that are manipulated or controlled by the experimenter.
Researchers, scientists, and anyone conducting experiments or studies may be required to record and report dependent and independent variables.
Dependent variables should be recorded based on the observed outcomes or responses, while independent variables should be identified and controlled or manipulated during the experiment.
The purpose of dependent and independent variables is to understand the relationship between different factors and determine how one variable affects another.
The specific values, measurements, or observations of the dependent and independent variables must be reported, along with any relevant experimental conditions or controls.
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