Calculating the residual statistics

    • [DOC File]Influence Statistics and Outliers

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      Influence Statistics, Outliers, and Collinearity Diagnostics. Studentized Residuals – Residuals divided by their estimated standard errors (like t-statistics). Observations with values larger than 3 in absolute value are considered outliers. Leverage Values (Hat Diag)

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    • [DOCX File]Correlation Coefficient Worksheet

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      Correlation Coefficient WorksheetName:. Calculator steps for creating a scatter plot: Stat. Edit – put x’s in L1 and y’s in L1. 2nd y = Choose first type of graph

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    • [DOC File]A fitted value is simply another name for a predicted ...

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      (1) On the graph below, draw each residual (the vertical distance between the point and the line of best fit) (2) Use your calculator (LinReg) to find the least squares regression line along with the coefficient of determination r2. (3) Interpret the coefficient of determination. Quarter 4: Part I Simple Linear Regression

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    • Unit 1 – Exploring and Understanding Data (25 Days)

      AP Statistics is a year-long introductory course to statistics designed for students who have successfully completed Algebra II. The purpose of this AP course is to introduce students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. ... Calculating and Interpreting Residual Values. Creating and ...

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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]AP Statistics sample audit syllabus

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      Calculating the equation of the least-squares regression line, Technology: Residual Plots and s on the Calculator I can calculate and interpret residuals in context. I can explain the concept of least squares. I can use technology to find a least-squares regression line.

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    • [DOC File]Statistics 231B SAS Practice Lab #1

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      Chi-Square Distribution Function (used for calculating pvalue based on Chi-square distribution) probchi(x,df,nc) returns the value of the distribution function of the chi-square distribution with . df. degrees of freedom and optional non-centrality parameter . nc. If not specified, nc=0. nc. is the sum of the squares of the means. Examples: y ...

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    • [DOCX File]STEPS FOR CONDUCTING MULTIPLE LINEAR REGRESSION

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      Examine descriptive statistics of the continuous variables . ... Thus, it is unlikely that we will find large standardized DfBetas or standardized residual values. Nonetheless, the standardized DfBeta values can verify this. The values of the standardized DfBetas have been added as seven additional variables in the data set (SDB0_1 – SDB6_1).

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    • [DOCX File]HS Statistics and Probability Assignment

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      HS Statistics and Probability Assignment. ... They are then exposed to a second context through a residual plot where a linear model is not appr opriate, ... Informally assess the fit of a model (through calculating correlation for linear data, plotting, calculating and/or analyzing residuals)

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