Residual plots calculator

    • [DOC File]AP STATISTICS - Mr. Haight's Math Class

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      5.3 Analyzing model quality: residuals & residual plots – constructing & interpreting; – calculation & interpretation Skill: Computing residuals & making residual plots on the calculator 5.3 Cautions about correlation & regression Lurking variables; causation. common response, and confounding 5.4 General transformations to achieve linearity ...

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    • [DOC File]Kenwood Academy

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      Aug 28, 2014 · Technology Corner page 178 – Residual Plots and s on the calculator. Check Your understanding page 179. The coefficient of determination, r², measures how well how well the least-squares regression line predicts values of the response y. Squaring the correlation gives us a better idea of the strength of the association.

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    • [DOC File]CHAPTER 3 NOTES – EXAMINING RELATIONSHIPS

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      Residual Plot: a scatterplot of the against the explanatory variable. Facts about residuals: The purpose of a residual plot is to determine if the model (equation) is an appropriate fit for the data. The residual plot should look like a random scatter of points.

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    • [DOCX File]Weebly

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      If the residual plots are randomly scattered around the horizontal axis, a linear model is the best choice to model the data. If the residual plot shows a pattern, and does not appear to random or scattered, a non-linear model would most likely be a better fit. Best fit is a non-linear model.Best fit is a non-linear model.Best fit is a linear ...

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    • [DOC File]Topic 9:

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      These examples show that residual plots can indicate when a liner model does not adequately describe the relationship in the data. When a straight line is a reasonable model, the residual plot should reveal a seemingly random scattering of points. When a nonlinear model would fit the data better, the residual plot reveals a pattern of some kind.

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    • [DOC File]Name___________________________________ Class Period_____

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      7) Make a residual plot and make a small sketch of this plot. Are the residuals randomly scattered, or do you observe a pattern (circle one)? Random Pattern Reminder: Patterns are in Residual Plots are usually a BAD sign. There are many, many equations that model curved data.

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    • [DOC File]Example of Diagnostics for Residuals

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      Plots of residuals versus predicted values and residuals versus time order (when data are collected over time) would be obtained in similar manners. Simply copy and paste columns of interest to new columns, placing the variable to go on the horizontal (X) axis to the left of the variable to go on the vertical (Y) axis.

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    • [DOC File]Worksheet on Correlation and Regression

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      Use Stat > Regression > Regression to find the regression equation AND make a residual plot of the residuals versus the explanatory variable. To make the residual plot, use “Graphs” and then type in the name of the explanatory variable. At home: Read Chapter 5 and work the problems at the end of each short section as you go through them.

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    • [DOC File]Chapter 2: Data

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      Residual Plots. A residual is the difference between the observed y-value and the predicted y-value for a given x-value. residual = The sum of the squares of the residuals (SSR) is used to determine the Least-Squares Regression Line for a given set of data.

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    • AP Stats Chapter 3: Regression and Residuals

      Technology: Residual Plots and s on the Calculator. Interpret the slope and y-intercept of a least-squares regression line in context. Explain the concept of least squares. Use technology to find a least-squares regression line.

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