In this video, a teacher explains how to assess the appropriateness of a linear correlation model by checking three conditions: do the variables are quantitative? Does the scatterplot looks linear? And are there any outliers? Review examples and guidance on how to evaluate these conditions to determine if a linear correlation model is appropriate for a given data set.