How to interpret a residual
AP Stats Chapter 3: Regression and Residuals
We are done with the Residual-Skew data set now. Read into SPSS the ANOVA1.sav data file. Conduct a linear regression analysis to predict illness from dose of drug. Save the standardized residuals and obtain the same plots that we produced above. Look at the residuals plot. Oh my. Notice that the residuals are not symmetrically distributed ...
[DOCX File]Chapter 3: Two-Variable Relationships
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Obs Day Weight Fit SE Fit Residual St Resid. 10 12.0 50.000 56.244 0.772 -6.244 -2.19R. 15 22.0 6.000 0.496 1.418 5.504 2.13R. R denotes an observation with a large standardized residual. Interpretation: the observation number 10 and number 15 are outliers.
[DOCX File]Chapter 3: Two-Variable Relationships
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Calculate and interpret residuals. Determine the equation of a least-squares regression line using technology or computer output. Construct and interpret residual plots. Interpret the standard deviation of residuals and . r. 2. Recognize influential observations and …
[DOC File]Worksheet on Correlation and Regression
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a) Interpret the slope. b) Does it make sense to interpret the y-intercept? Explain. HW #28 page 193 (35, 37, 39, 41, 45) 3.2 Residuals. Read 168–172. What is a residual? How do you interpret a residual? Calculate and interpret the residual for the Honda CR-V with 86,000 miles and an …
[DOC File]Plots of Residuals
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Construct and interpret residual plots. Interpret the standard deviation of residuals and . r. 2. Recognize influential observations and describe how they affect an LSRL. Find the slope and y-intercept of the least-squares regression line from the means, standard deviations of . x.
[DOC File]How to interprete the minitab output of a regression analysis:
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10. Compute the residual for . (The residual is the difference between the observed y value and the predicted y value.) 11. Use the line you drew to predict y when . Write your prediction here. 12. Identify and interpret the regression coefficients, in context. y-intercept: Slope:
Interpreting Residual Plots to Improve Your Regression
Construct and interpret residual plots to assess if a linear model is appropriate. Use the standard deviation of the residuals to assess how well the line fits the data. Use r2 to assess how well the line fits the data. Interpret the standard deviation of the residuals and r2 in context. Pg. 192 (49, 54, 56, 58-61)
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