http://www.regorz-statistik.de/en/checking_regression_assumptions_for_PROCESS_models.html WebNov 17, 2024 · However, before we calculate the Pearson correlation coefficient between two variables we should make sure that five assumptions are met: 1. Level of Measurement: The two variables should be measured at the interval or ratio level. 2. Linear Relationship: There should exist a linear relationship between the two variables. 3.
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WebJan 8, 2024 · The Four Assumptions of Linear Regression 1. Linear relationship: . There exists a linear relationship between the independent variable, x, and the dependent... 2. Independence: . The residuals are independent. In particular, there is no correlation … WebExplanation: By transferring the pa_x_normal interaction term, you are testing to see if the addition of this interaction term to the existing regression model (i.e., the model that contains only the independent and dummy variables, physical_activity and normal) improves the prediction of HDL.This will also allow you to determine whether the interaction term is … creating diagrams in word
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