Homework Sourse90 The data on the U5Mort worksheet of Chpt 111 represent fe
90
The data on the U5Mort worksheet of Chpt 11-1 represent female literacy (FemLit) and under-five mortality (U5 Mort) for one hundred and fourteen countries of the world, each having more than one million inhabitants. Use the data to calculate b1 and bo for FemLit as a predictor of U5Mort. (LINEAR REGRESSION)
PLEASE EXPLAIN ANSWER
| Country | FemLit | U5mort |
| Afghanistan | 16 | 257 |
| Algeria | 54 | 41 |
| Angola | 29 | 295 |
| Argentina | 96 | 22 |
| Armenia | 99 | 30 |
| Australia | 98 | 5 |
| Austria | 98 | 5 |
| Bangladesh | 48 | 89 |
| Belgium | 98 | 6 |
| Benin | 19 | 156 |
| Bhutan | 28 | 107 |
| Bolivia | 78 | 83 |
| Brazil | 85 | 40 |
| Bulgaria | 98 | 17 |
| Cambodia | 58 | 122 |
| Cameroon | 53 | 154 |
| Canada | 98 | 6 |
| Central African Rep. | 27 | 172 |
| Chad | 22 | 198 |
| Chile | 96 | 12 |
| China | 77 | 41 |
| Colombia | 92 | 31 |
| Congo, Dem. Rep. | 54 | 207 |
| Costa Rica | 95 | 14 |
| Cuba | 96 | 8 |
| Denmark | 98 | 5 |
| Dominican Rep. | 81 | 49 |
| Ecuador | 86 | 35 |
| Egypt | 38 | 52 |
| El Salvador | 73 | 42 |
| Eritrea | 10 | 105 |
| Ethiopia | 27 | 176 |
| Finland | 98 | 5 |
| France | 98 | 5 |
| Gambia | 24 | 75 |
| Germany | 98 | 5 |
| Ghana | 53 | 101 |
| Guatemala | 63 | 60 |
| Guinea | 22 | 181 |
| Guinea-Bissau | 16 | 200 |
| Haiti | 42 | 129 |
| Honduras | 69 | 42 |
| Hungary | 99 | 10 |
| India | 44 | 98 |
| Indonesia | 78 | 52 |
| Iran | 69 | 46 |
| Iraq | 45 | 128 |
| Italy | 98 | 6 |
| Jamaica | 81 | 11 |
| Japan | 98 | 4 |
| Jordan | 81 | 35 |
| Kazakhstan | 99 | 42 |
| Kenya | 69 | 118 |
| Korea, Rep. of | 98 | 5 |
| Kyrgyzstan | 95 | 65 |
| Lao People\'s Dem. Rep. | 48 | 111 |
| Lebanon | 77 | 32 |
| Lesotho | 92 | 134 |
| Libya | 67 | 22 |
| Madagascar | 44 | 156 |
| Malawi | 34 | 211 |
| Malaysia | 79 | 9 |
| Mali | 12 | 235 |
| Mauritania | 33 | 183 |
| Mauritius | 78 | 23 |
| Mexico | 87 | 33 |
| Mongolia | 97 | 80 |
| Morocco | 31 | 53 |
| Mozambique | 23 | 203 |
| Myanmar | 78 | 112 |
| Namibia | 77 | 70 |
| Nepal | 28 | 104 |
| Netherlands | 98 | 5 |
| New Zealand | 98 | 6 |
| Nicaragua | 67 | 47 |
| Niger | 7 | 275 |
| Nigeria | 47 | 187 |
| Norway | 98 | 4 |
| Oman | 57 | 16 |
| Pakistan | 33 | 112 |
| Panama | 92 | 27 |
| Papua New Guinea | 63 | 112 |
| Paraguay | 90 | 32 |
| Peru | 89 | 52 |
| Philippines | 94 | 42 |
| Portugal | 87 | 6 |
| Romania | 96 | 24 |
| Rwanda | 50 | 180 |
| Saudi Arabia | 70 | 25 |
| Senegal | 23 | 118 |
| Sierra Leone | 18 | 316 |
| Singapore | 86 | 4 |
| South Africa | 66 | 69 |
| Spain | 96 | 6 |
| Sri Lanka | 88 | 19 |
| Sudan | 47 | 109 |
| Sweden | 98 | 4 |
| Syria | 73 | 30 |
| Tanzania | 82 | 141 |
| Thailand | 92 | 30 |
| Togo | 33 | 143 |
| Trinidad and Tobago | 97 | 20 |
| Turkey | 74 | 48 |
| Uganda | 50 | 131 |
| United Kingdom | 98 | 6 |
| United States | 98 | 8 |
| Uruguay | 97 | 17 |
| Uzbekistan | 99 | 58 |
| Venezuela | 90 | 23 |
| Viet Nam | 88 | 40 |
| Yemen | 36 | 119 |
| Zambia | 60 | 202 |
| Zimbabwe | 82 | 90 |
Solution
-1.8477
From the table we couls say bo=223.4012, b1 = -2.1363
| Regression Analysis | ||||||
| r² | 0.660 | n | 113 | |||
| r | -0.812 | k | 1 | |||
| Std. Error | 43.534 | Dep. Var. | U5mort | |||
| ANOVA table | ||||||
| Source | SS | df | MS | F | p-value | |
| Regression | 4,07,707.9486 | 1 | 4,07,707.9486 | 215.13 | 9.75E-28 | |
| Residual | 2,10,365.7682 | 111 | 1,895.1871 | |||
| Total | 6,18,073.7168 | 112 | ||||
| Regression output | confidence interval | |||||
| variables | coefficients | std. error | t (df=111) | p-value | 95% lower | 95% upper |
| Intercept | 223.4012 | 10.8013 | 20.683 | 7.07E-40 | 201.9978 | 244.8046 |
| FemLit | -2.1364 | 0.1457 | -14.667 | 9.75E-28 | -2.4250 | -1.8477 |
