![]() Negative Linear Relationship: When the independent variable increases, the dependent variable decreases.Positive Linear Relationship: When the independent variable increases, the dependent variable increases too. ![]() There are basically two types of linear relationships as well. Linear relationship means the change in an independent variable(s) causes a change in the dependent variable. This means these are the variables using which response variables can be predicted. Independent Variable (aka explanatory/predictor variable): Is/are the variable(s) on which response variable is depend. ![]()
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