This document summarizes the results of a regression analysis conducted to predict body weight based on shoe size and pants size. It provides the key statistics from the regression including: 1) Descriptive statistics on the variables - shoe size, pants size, and body weight. 2) Residual statistics such as standardized residuals, studentized deleted residuals, and leverage values to assess the fit of the regression model. 3) Prediction statistics including predicted values, standard errors, and adjusted predicted values from the regression equation.

1. REGRESI Disusun oleh : Hidayatullah al-azis (082460) Kela III D

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4. Regression Descriptive Statistics 27 2.59190 38.4444 UkuranSepatu 27 1.30198 28.1852 UkuranCelana 27 8.29495 47.0370 BeratBadan N Std. Deviation Mean

6. Residuals Statistics 27 .064 .074 .197 .001 Centered Leverage Value 27 .151 .073 .673 .000 Cook's Distance 27 1.661 1.926 5.122 .036 Mahal. Distance 27 1.112 -.010 1.918 -3.024 Stud. Deleted Residual 27 4.98967 -.02350 8.99403 -12.87062 Deleted Residual 27 1.051 -.002 1.819 -2.613 Stud. Residual 27 .961 .000 1.611 -2.295 Std. Residual 27 4.15734 .00000 6.97153 -9.93168 Residual 27 7.40644 47.0605 64.8706 38.8052 Adjusted Predicted Value 27 .388 1.391 2.093 .848 Standard Error of Predicted Value 27 1.000 .000 2.075 -1.109 Std. Predicted Value 27 7.17794 47.0370 61.9317 39.0760 Predicted Value N Std. Deviation Mean Maximum Minimum

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