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T anand OLSE Depende : Lic Parti Gerth 2 - 2 GNP Real Sed. Error Note: "POLCO C OOL (two-tailed tests). Stand in partes Prompt #3 This www lt 250 W Table 2 press the same models from Prout where but this the reporting standardized estimates Using this informatie, the following questi . Firstwhat do the models in Table 2 tell about et Seed, which independentro variable power to the t e Co l welle expectancy at birth? Third, are the war that you would ever to compare in the s ande form from The 17 Why w o rth, why does standardizing pipe coat (ext ) be place at an benderade stolari ? Fifth, we do the model it statistiese and the s tandar d post change between Tables 2 TINS OLSE Det er en (1) (2) (3) 1.5 0 0.268 OK (1.1 ) 0 ) 0761) Population with Europe Central Asia South A TOT (2002) 16) 12 CNT 0.0001) 000 Sale Wwer Acces (13) (2619) P95) 2.) 0.226 Real Sid. Er 4610 Note: Standards in perhees 0228 0.520 .741 3.796 two-tailed test) 0716 2.83 O TAN O LS Estes Dependent Variable Life Expectancy Pelation Growth 26472.763 (0.829) (1.109) -0.109 2012 9 0.365) 1 5 (0.761) Europe/ C al Asia (1 ) South America GNP Safe Wwer A 0 (331) Constant 750 75129 71. 5 (1.375) (2619) 2.251) Olio 0.226 0.28 0.520 Risbal Sul. Error 4610 1.741 3.736 Noter 1: 0,05 ***p 0.01 (two-tailed tests) Standard res in parentheses 0.716 909 2 w Prompt #3 This prop i san www at last 250 words Table 2 presents the me models from Prompt 2 abor, but this time reporting standardized states Using this information answer the following questions. First, what do the models in Table 2 tellus at efect sizes? Second, which independent control variable appears to have the largest weet on Contry level life expectancy at birth? Third, are there r iables that you would peefer to compare in their standardized form from Table 17 Why why not? Forth, why does standardizing partial slope coeficients (s ) beli c are efect size bet independente arabes? Fifth, wly do the model fit statistics and the residual standard ) and p o t change between Tables The Standard OLS Estimates Dependent Variable: Life Expectancy Population Growth 0.475 ON .0.19 . ( 115 ) 0011 - 01210 .19 0.761) Evrope Central Asia 0.00T (1.297) (2.672) (1.639) GNP 100001 ( 0) Sale Water Access 0.000 3.331) Coast 0000 (1.375) Obat 0.226 Residual Std Free 4610 Note: p0 .1: " p p Standard errors in putheses 0.000 0.000 (2619) (2251) 37 37 0.28 0.52 4.741 1796 01 (two-tailed tests 0.716 omPUTUUV, Duo Using this information, answer the following questions: about effect sizes? Second, which independent/control van country-level life expectancy at birth? Third, are there any variables that their unstandardized form from Table 1? Why or why not? Fo coefficients (sometimes) help us compare effect sizes between the model fit statistics (i.e., R and the residual standard error) ollowing questions. First, what do the models in Table 2 tell us dependent/control variable appears to have the largest "effect on there any variables that you would prefer to compare in Why or why not? Fourth, why does standardizing partial slope pare effect sizes between independent/control variables? Fifth, why do standard error) and p-values not change between Tables 1 and 2? Table 2: Standardized OLS Estimates GNP Dependent Variable: Life Expectancy (1) (2) (3) (4) Population Growth -0.475 -0.499 -0.268 -0.189 (0.829) (1.149) (0.965) (0.761) Europe/Central Asia -0.011 -0.126 -0.059 (2.332) (1.887) (1.483) South America 0.047 0.046 0.047 (2.072) (1.659) (1.297) 0.628*** 0.193*** (0.0001) (0.0001) Safe Water Access 0.630*** (0.039) Constant 0.000 0.000 0.000 0.000 (1.375) (2.619) (2.251) (3.331) Observations 37 37 R? 0.226 0.228 0.520 0.716 4.610 4.741 3.796 Residual Std. Error 2.969 Note: *p