Please I need help on thsi question. Thank you! FR-squaredAdj R-squared1,38813.69Model |Residual | XXXXXXXXXX5 XXXXXXXXXX XXXXXXXXXX0.0000 XXXXXXXXXX1,3820.04720.0437Total |...


Please I need help on thsi question. Thank you!


1. We estimated the two regression models using the BWGHT.DTA data; you should be able to open the<br>data sets and find what each variable stands for. Use output (1) to answer questions (a) and (b); output (2)<br>to answer question (c); and both outputs to answer question (d):<br>(1). reg lbwght cigs lfamine parity male white<br>Source |<br>ss<br>df<br>MS<br>Number of obs<br>F(5, 1382)<br>Prob > F<br>R-squared<br>Adj R-squared<br>1,388<br>13.69<br>Model |<br>Residual |<br>2.37917499<br>5<br>475834999<br>.034762054<br>0.0000<br>48.0411586<br>1,382<br>0.0472<br>0.0437<br>Total |<br>50.4203336<br>1,387<br>.036352079<br>Root MSE<br>.18645<br>lbwght |<br>Coef.<br>Std. Err.<br>(95% Conf. Interval]<br>t<br>P>It|<br>cigs |<br>lfamine |<br>-.0043502<br>.0092774<br>.0008518<br>-5.11<br>0.000<br>0.118<br>0.005<br>-.0060212<br>-.0026791<br>.0059308<br>.0056388<br>0100295<br>1.56<br>-.002357<br>0209118<br>parity I<br>male |<br>white |<br>.0159828<br>.0265458<br>.0547875<br>4.657711<br>2.83<br>.0049213<br>.0068711<br>0270443<br>.0462206<br>080391<br>2.65<br>0.008<br>0.000<br>.<br>.0130518<br>.0221653<br>.029184<br>4.61423<br>4.20<br>cons |<br>210.14<br>0.000<br>4.701193<br>(2). reg lbwght cigs lfamine parity male white motheduc fatheduc<br>Source |<br>1,191<br>8.76<br>s<br>df<br>MS<br>Number of obs<br>F(7, 1183)<br>Prob > F<br>------<br>Model |<br>Residual I<br>2.073938<br>.296276857<br>.033804848<br>7<br>0.0000<br>39.9911354<br>1,183<br>R-squared<br>Adj R-squared<br>0.0493<br>0.0437<br>Total |<br>42.0650733<br>1,190<br>035348801<br>Root MSE<br>.18386<br>lbwght |<br>Coef.<br>Std. Err.<br>t<br>P>|t|<br>[95% Conf. Interval]<br>cigs |<br>lfaminc |<br>-.0052144<br>.0110315<br>.0010268<br>.0085404<br>-5.08<br>0.000<br>-.0031999<br>.0277876<br>-.0072288<br>1.29<br>0.197<br>-.0057247<br>parity |<br>male |<br>white<br>.0172014<br>.0061335<br>2.80<br>0.005<br>0.001<br>0.003<br>.0051676<br>.0292351<br>.0107022<br>.015087<br>.0029731<br>.0026084<br>.0381545<br>.034143<br>3.19<br>.0131455<br>.0551404<br>.0453991<br>3.01<br>.0157988<br>.0749993<br>motheduc |<br>fatheduc |<br>cons |<br>-.0029763<br>-1.00<br>0.317<br>-.0088094<br>.0028568<br>.0032763<br>1.26<br>0.209<br>-.0018413<br>.008394<br>4.652674<br>121.94<br>0.000<br>4.577816<br>4.727532<br>(a) Interpret the coefficient on the variable cigs. In particular, what is the effect on birthweight from<br>smoking 10 or more cigarettes a day?<br>(b) How much more is a white child predicted to weigh than a nonwhite child, holding the other factors<br>fixed? Is the difference statistically significant?<br>(c) Comment on the estimated effect and the statistical significance of mother's education.<br>(d) Test for the joint significance of the two variables, mother's education and father's education at the five<br>percent level of significance. Properly state the null and alternative hypotheses, decision rule, critical F<br>statistic, and then state your decision.<br>

Extracted text: 1. We estimated the two regression models using the BWGHT.DTA data; you should be able to open the data sets and find what each variable stands for. Use output (1) to answer questions (a) and (b); output (2) to answer question (c); and both outputs to answer question (d): (1). reg lbwght cigs lfamine parity male white Source | ss df MS Number of obs F(5, 1382) Prob > F R-squared Adj R-squared 1,388 13.69 Model | Residual | 2.37917499 5 475834999 .034762054 0.0000 48.0411586 1,382 0.0472 0.0437 Total | 50.4203336 1,387 .036352079 Root MSE .18645 lbwght | Coef. Std. Err. (95% Conf. Interval] t P>It| cigs | lfamine | -.0043502 .0092774 .0008518 -5.11 0.000 0.118 0.005 -.0060212 -.0026791 .0059308 .0056388 0100295 1.56 -.002357 0209118 parity I male | white | .0159828 .0265458 .0547875 4.657711 2.83 .0049213 .0068711 0270443 .0462206 080391 2.65 0.008 0.000 . .0130518 .0221653 .029184 4.61423 4.20 cons | 210.14 0.000 4.701193 (2). reg lbwght cigs lfamine parity male white motheduc fatheduc Source | 1,191 8.76 s df MS Number of obs F(7, 1183) Prob > F ------ Model | Residual I 2.073938 .296276857 .033804848 7 0.0000 39.9911354 1,183 R-squared Adj R-squared 0.0493 0.0437 Total | 42.0650733 1,190 035348801 Root MSE .18386 lbwght | Coef. Std. Err. t P>|t| [95% Conf. Interval] cigs | lfaminc | -.0052144 .0110315 .0010268 .0085404 -5.08 0.000 -.0031999 .0277876 -.0072288 1.29 0.197 -.0057247 parity | male | white .0172014 .0061335 2.80 0.005 0.001 0.003 .0051676 .0292351 .0107022 .015087 .0029731 .0026084 .0381545 .034143 3.19 .0131455 .0551404 .0453991 3.01 .0157988 .0749993 motheduc | fatheduc | cons | -.0029763 -1.00 0.317 -.0088094 .0028568 .0032763 1.26 0.209 -.0018413 .008394 4.652674 121.94 0.000 4.577816 4.727532 (a) Interpret the coefficient on the variable cigs. In particular, what is the effect on birthweight from smoking 10 or more cigarettes a day? (b) How much more is a white child predicted to weigh than a nonwhite child, holding the other factors fixed? Is the difference statistically significant? (c) Comment on the estimated effect and the statistical significance of mother's education. (d) Test for the joint significance of the two variables, mother's education and father's education at the five percent level of significance. Properly state the null and alternative hypotheses, decision rule, critical F statistic, and then state your decision.
Jun 05, 2022
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