Residual Plots Worksheet
This worksheet covers the interpretation and analysis of residual plots in statistics for Grade 9 students.
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Residual Plots Assessment
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Read each question carefully and answer to the best of your ability. For questions involving residual plots, analyze the provided graph to determine the best fit for the data.
1. What does a residual plot help us determine about a linear model?
The strength of the correlation.
If the data is evenly distributed.
The appropriateness of the linear model.
The slope of the regression line.
2. A residual plot with a random scatter of points above and below the x-axis suggests:
A non-linear relationship.
A good linear fit.
Outliers in the data.
Heteroscedasticity.
3. A residual is the difference between the observed value and the value.
4. If a residual plot shows a distinct pattern (e.g., a curve), it indicates that a linear model is for the data.
5. Describe what an ideal residual plot should look like and explain why.
6. Analyze the residual plot below. Does it suggest that a linear model is appropriate for the data? Explain your reasoning.