AddIns Regression Regression Statistics Multiple R 0 964970197 Slides: 22 Download presentation Коришћењем Add-Ins Regression добијају се следећи резулатати: Regression Statistics Multiple R 0, 964970197 R Square 0, 931167481 Adjusted R Square 0, 915871366 Standard Error 12, 14592045 Observations 12 ANOVA Regression Residual Total Intercept Iskustvo Prekršaji Df-broj stepeni SS-suma slobode kvadrata MS-varijansa 2 17961, 28955 8980, 644774 9 1327, 710451 147, 5233835 11 19289 Standard Coefficients Error 110, 2760721 14, 61864892 -2, 747272266 0, 977006167 16, 10612084 2, 613319665 t Stat 7, 543520106 -2, 811929299 6, 163088678 F-tablična vrednost 60, 87607647 P-value 3, 52827 E-05 0, 02031295 0, 000166078 Коришћењем Add-Ins Regression добијају се следећи резулатати: Prekršaji Residual Plot 30 20 20 10 0 -10 0 5 -20 10 15 20 Residuals 30 10 0 -10 0 2 -20 Iskustvo Premija Predicted Premija 0 10 Iskustvo 20 6 8 Prekršaji Line Fit Plot Premija 250 200 150 100 50 0 4 Prekršaji Iskustvo Line Fit Plot Premija Residuals Iskustvo Residual Plot 250 200 150 100 50 0 Premija Predicted Premija 0 5 Prekršaji 10 Литература: Prem, S. Mann (2009). Uvod u statistiku, šesto izdanje. CID Ekonomskog fakulteta u Beogradu, Beograd. Simple multiple linear regressionMultiple regressionIntroduction to statistics what is statisticsAp statistics linear regressionLogistic regression vs linear regressionLogistic regression vs linear regressionAp stats chapter 7 reviewMultiple regression equationKrHypothesis for multiple regressionKarl wuenschMultiple linear regression interpretationMultiple regression analysis inferenceMultiple regression analysis with qualitative informationNonlinear multiple regressionRegression equation in excelGradient descent multiple variablesPolynomial regression spssLogistic regression interaction interpretationSample size for multiple regressionMultiple regression analysis inferenceVif minitabAnalisis regresi logistik berganda