How to interpret a residual data point

    • [DOCX File]LHS AP Statistics - Home

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      The following is a residual plot of a linear regression. A line would not be a good fit for these data. Why not? Is the regression equation likely to underestimate or overestimate the y-value of the point in the graph marked with the square?

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    • [DOC File]AP Stats Chapter 3 Notes: Examining Relationships

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      The residual is negative because the data point fell below the line. A residual plot is a scatterplot of the regression residuals against the explanatory variable (or equivalently, against the predicted y-values). Residual plots help us assess how well a regression line fits the data. Assignment: p. 220-221—3.39, 3.40, 3.42. How Well the Line ...

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    • [DOCX File]Mrs. Palmer's web site

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      The average perpendicular distance between each data point and the least-squares regression line. ____17.Consider the scatter plot below for a very small data set, consisting of the heights of five fathers (

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    • [DOCX File]Lakey's AP Stats - Home

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      Find and interpret the residual for this month. In Homework 3.1, you were presented with data on the lean body mass and resting metabolic rate for 12 women who were subjects in a study of dieting. Lean body mass, given in kilograms, is a person’s weight leaving out all fat.

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    • Home - Brentsville District High School

      Calculate and interpret the residual for the colony that had 52% of the sparrowhawks return and 11 new adults. Use your calculator to make a residual plot. Describe what this graph tells you about the appropriateness of using a linear model.

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    • [DOC File]The Practice of Statistics - AP STATISTICS - AP …

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      The least-squares regression line always passes through the point ... What is a residual plot? Sketch a graph of a residual plot. If a least-squares regression line fits the data well, what two characteristics should the residual plot exhibit? What is the standard deviation of the residuals? How is it interpreted?

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    • [DOC File]Chapter 2: Data

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      Points in the residual plot that lie below the horizontal axis, lie below the LSRL. Therefore the model gives an overestimate at that point. Therefore negative residuals represent overestimates. The LSRL is not a good model if the residual plot shows a pattern. Construct a well-labeled residual plot using the data on jet ski fatalities from #1.

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    • [DOC File]Test 3B .k12.ga.us

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      Interpret the slope and y intercept of the regression line in the context of the problem. 13. Clearly label the residual for the data point (3, 9) on the grid above and give its value. 14. How well does the linear model you calculated in Question 11 fit the data? Give graphical and numerical evidence to …

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    • [DOC File]Chapter 2: Data

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      Therefore the model gives an overestimate at that point. Therefore _____ residuals represent overestimates. The LSRL is not a good model if the residual plot shows _____. Construct a well-labeled residual plot using the data on jet ski fatalities from #1.

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    • [DOC File]AP Statistics

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      (a) This student has a grade point average of 2.9 and an SAT Math score of 670. (b) If we used the least-squares line to predict this student’s SAT Math score, we would make a prediction that is too low. (c) This student’s residual is –82.23. (d) Removing this data point would cause the correlation coefficient to …

      how to calculate a residual


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