Regression equation examples

    • [DOC File]Worksheet on Correlation and Regression

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      Use Stat > Regression > Regression to find the regression equation AND predict BAC when “beer” is 5. To predict the values, use Options and then type in the x value of your variable there. Use Stat > Regression > Regression to find the regression equation AND make a residual plot of the residuals versus the explanatory variable.

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    • [DOC File]Structural Equation Modeling - Purdue University

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      Structural equation modeling (SEM) is a series of statistical methods that allow complex relationships between one or more independent variables and one or more dependent variables. Though there are many ways to describe SEM, it is most commonly thought of as a hybrid between some form of analysis of variance (ANOVA)/regression and some form of ...

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    • [DOC File]Linear Regression

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      Nonlinear Models for Regression. After reading this chapter, you should be able to. derive constants of nonlinear regression models, use in examples, the derived formula for the constants of the nonlinear regression model, and. linearize (transform) data to find constants of some nonlinear regression …

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    • [DOC File]Answers to the Regression examples at the end of Lecture 5

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      The F test statistic indicates (roughly) that the regression equation explains 14.6 times more of the variation in the data than it leaves unexplained. The p = .003 indicates that 99.7% percent of the time a regression that explained no more of the movement in the data than the simple average of sales would explain as much as this estimate. c.

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    • [DOC File]Linear Regression Problems

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      Quadratic Regression Problems The following data was obtained by throwing a rubber ball at a CBR. Time (sec) Height (m) 0.0000 1.03754 0.1080 1.40205 0.2150 1.63806 0.3225 1.77412 0.4300 1.80392 0.5375 1.71522 0.6450 1.50942 0.7525 1.21410 0.8600 0.83173

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    • [DOCX File]STEPS FOR CONDUCTING MULTIPLE LINEAR REGRESSION

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      Write the final regression equation and interpret the coefficient estimates. To get started, open the SPSS data file entitled, REGRESSION.SAV. STEP I: Recode . SEX and G8URBAN into . dichotomous. variables . Run frequencies for SEX and G8URBAN. This will be helpful later for verifying that the dichotomous variables were created correctly. At ...

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    • [DOC File]Outliers, Leverage & Influential points in regression

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      Regression with all the data: The regression equation is. y = 67.6 + 0.228 x. R-Sq = 54.4% Regression without the U.S.A. The regression equation is. y = 9.1 + 0.369 x. R-Sq = 88.9% A point that makes a lot of difference in a regression case, is called ‘an influential point’. Usually influential points have two characteristics:

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    • [DOC File]Case Study – Logistic Regression

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      Regression Equation: Estimated Regression Equation: Yardage Probability 20 .9706 25 .9502 30 .9167 35 .8639 40 .7855 45 .6787 50 .5493 55 .4129 95% CI for : -0.110 ( 1.96(0.011) ( -0.110 ( 0.022 ( (-0.132 , -0.088) Odds Ratio: Estimated odds ratio: Odds of successful fieldgoal change by about (0.896-1)100% = -10.4% for each extra yard of the ...

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    • [DOC File]Regression Analysis (Simple)

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      Hypothesized Regression Equation/Model and the Estimating Equation. When we follow the steps in regression (coming up shortly) we come up with two forms of our regression line or model. The first is a hypothesized model (following the general format of steps to research design) From a previous example, on Effort and Performance in 520, we had ...

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    • [DOCX File]Example of Three Predictor Multiple Regression

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      Example of Three Predictor Multiple Regression/Correlation Analysis: Checking Assumptions, Transforming Variables, and Detecting Suppression. The data are from Guber, D.L. (1999). Getting what you pay for: The debate over equity in public school expenditures. Journal of Statistics Education, 7, 1-8. The research units are the fifty states in ...

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