I'm not 100% sure this is right but I think this is how you do it
An engineer believes that there is a linear relationship between the thickness of an air filter and the amount of particulate ma
tter that gets through the filter; that is, less pollution should get through thicker filters. The engineer tests many filters of different thickness and fits a linear model. If a linear model is appropriate, what should be apparent in the residual plot
1 answer:
Answer:
If the model is appropiate, the residual of a linear regression model, when plotted in a scatter plot (residuals vs. independent variable), should be spread around 0, with no significant slope (slope = 0).
Step-by-step explanation:
The residual is defined as the difference between the observed and the predicted value.
If the model is appropiate, the residual of a linear regression model, when plotted in a scatter plot (residuals vs. independent variable), should be spread around 0, with no significant slope (slope = 0).
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