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Step 1: Collect the data for linear regression analysis.
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Step 2: Plot the data points on a scatter plot to visualize the relationship between the independent and dependent variables.
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Step 3: Calculate the correlation coefficient to determine the strength and direction of the relationship.
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Step 5: Plot the regression line on the scatter plot to see how well it fits the data.
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Step 6: Evaluate the goodness of fit by analyzing the coefficient of determination (R-squared) and the standard error of the estimate.
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