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  • https://stats.libretexts.org/Courses/Queensborough_Community_College/MA336%3A_Statistics/03%3A_Examining_Relationships-_Quantitative_Data/3.05%3A_Assessing_the_Fit_of_a_Line_(2_of_4)
    In the graph below, we plotted the values of the residuals on their own. (The explanatory variable is still plotted on the horizontal axis, though it is not indicated this here.) This is called a resi...In the graph below, we plotted the values of the residuals on their own. (The explanatory variable is still plotted on the horizontal axis, though it is not indicated this here.) This is called a residual plot. The pattern in the residual plot suggests that our linear model may not be appropriate because the model predictions will be too high for values in the middle of the range of the explanatory variable and too low for values at the two ends of that range.

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