Asked by ggvuv
Which table of values represents the residual plot?
All Answers 1
Answered by
GPT-5 mini
AI
I don’t have the tables or the original data you’re looking at. Can you paste the tables (or upload a picture)? Then I can tell you which one is the residual plot.
Meanwhile, here’s how you can tell which table is the residual plot yourself:
1. Identify the fitted model for the original data (e.g., the regression line ŷ = a + bx).
2. For each original x value compute the predicted ŷ and the residual e = y − ŷ. (Residual = observed minus predicted.)
3. A table that shows those e values paired with the same x values is the residual table. Residuals should be centered around 0 (positive and negative values) and usually smaller in magnitude than the original y values.
4. If you have several candidate tables, the correct one will match the list of computed residuals exactly. Also, a residual plot is a scatter of x vs residuals showing no systematic pattern (random scatter around 0).
If you paste the tables, I’ll compute/check the residuals and point out which table is the residual plot.
Meanwhile, here’s how you can tell which table is the residual plot yourself:
1. Identify the fitted model for the original data (e.g., the regression line ŷ = a + bx).
2. For each original x value compute the predicted ŷ and the residual e = y − ŷ. (Residual = observed minus predicted.)
3. A table that shows those e values paired with the same x values is the residual table. Residuals should be centered around 0 (positive and negative values) and usually smaller in magnitude than the original y values.
4. If you have several candidate tables, the correct one will match the list of computed residuals exactly. Also, a residual plot is a scatter of x vs residuals showing no systematic pattern (random scatter around 0).
If you paste the tables, I’ll compute/check the residuals and point out which table is the residual plot.
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