Regression Statistics MultipleR 0.267643168 0.071632865 R Square Adj R Square 0.068838449 Standard Error571.4177199 Observations 3000 ANOVA df Significance F MS 9 75330553.98 8370061.553 25.634287096.23834E-43 Regression Residual 2990976289449.8 326518.2106 Total 2999 1051620004 Coefficients Standard ErrortStat P-value Lower 95% Upper 95% 2,807 135.0862973 20.78654569 9.48377E-90 2543.105992 3072.848988 Intercept tri 1 previsit 572 106.3636348 5.3844881727.82774E-08364.1604175 781.26705 tri 2 previsit 534 108.1423789 4.943902709 8.07975E-07 322.6043975 746.6864021 tri 3 previsit 521 119.2551585 4.374769611 1.25718E-05 287.8833728 755.5443138 smoker 135.265497 2.491173451 0.012786027 71.74694988 602.1926802 336 unmarried -21929.10687781-7.554818602 5.54057E-14-276.9687167-162.8256471 educatiorn 4.6 5.6185517780.821165448 0.411617501 -6.402858088 15.63037926 1.5 2.483822317 0.597390522 0.550291916 -3.386361827 6.353985651 age smokerx age 20 5.173408809-3.907855423 9.51833E-05-30.36073484 -10.0731325 drinks 3.415.30754516 0.22503005 0.821971275-33.45904472 26.56972941 The dependent variable is the birthweight of a newborn baby in grams. The independent variables are: 1) through 3) a set of binary categorical variables with the value 1 indicating the trimester of the expectant mother's first prenatal doctor visit. Note that there is a fourth possible category that has not been included - that the mother had no prenatal visits. So if the mothers first visit was in her second trimester then "tri 2 previsi" would be a "1" and the others would be valued at 0. 4) a binary variable with the value of 1 if the mother smoked during her pregnancy 5) a binary variable with the value of 1 if the mother is not married. 6) the number of years of education of the mother. 7) the age of the mother. 8) an interaction variable of the smoking indicator and the age of the mother. 9) the average number of alcoholic drinks per week that the mother consumes _end of data description.xam question 10 is below 1. Discuss why the indicator variable that is valued at 1 if the expectant mother had no prenatal visits ha:s been left out. Also discuss the interpretation of the coefficients on the three prenatal visit indicator variables 2. Discuss the interpretation of the coefficient on the interaction variable "smoker x age". Include in your discussion the identification of what is an indicator variable and what is continuous. You may use a small graph to supplement your discussion. Regression Statistics MultipleR 0.267643168 0.071632865 R Square Adj R Square 0.068838449 Standard Error571.4177199 Observations 3000 ANOVA df Significance F MS 9 75330553.98 8370061.553 25.634287096.23834E-43 Regression Residual 2990976289449.8 326518.2106 Total 2999 1051620004 Coefficients Standard ErrortStat P-value Lower 95% Upper 95% 2,807 135.0862973 20.78654569 9.48377E-90 2543.105992 3072.848988 Intercept tri 1 previsit 572 106.3636348 5.3844881727.82774E-08364.1604175 781.26705 tri 2 previsit 534 108.1423789 4.943902709 8.07975E-07 322.6043975 746.6864021 tri 3 previsit 521 119.2551585 4.374769611 1.25718E-05 287.8833728 755.5443138 smoker 135.265497 2.491173451 0.012786027 71.74694988 602.1926802 336 unmarried -21929.10687781-7.554818602 5.54057E-14-276.9687167-162.8256471 educatiorn 4.6 5.6185517780.821165448 0.411617501 -6.402858088 15.63037926 1.5 2.483822317 0.597390522 0.550291916 -3.386361827 6.353985651 age smokerx age 20 5.173408809-3.907855423 9.51833E-05-30.36073484 -10.0731325 drinks 3.415.30754516 0.22503005 0.821971275-33.45904472 26.56972941 The dependent variable is the birthweight of a newborn baby in grams. The independent variables are: 1) through 3) a set of binary categorical variables with the value 1 indicating the trimester of the expectant mother's first prenatal doctor visit. Note that there is a fourth possible category that has not been included - that the mother had no prenatal visits. So if the mothers first visit was in her second trimester then "tri 2 previsi" would be a "1" and the others would be valued at 0. 4) a binary variable with the value of 1 if the mother smoked during her pregnancy 5) a binary variable with the value of 1 if the mother is not married. 6) the number of years of education of the mother. 7) the age of the mother. 8) an interaction variable of the smoking indicator and the age of the mother. 9) the average number of alcoholic drinks per week that the mother consumes _end of data description.xam question 10 is below 1. Discuss why the indicator variable that is valued at 1 if the expectant mother had no prenatal visits ha:s been left out. Also discuss the interpretation of the coefficients on the three prenatal visit indicator variables 2. Discuss the interpretation of the coefficient on the interaction variable "smoker x age". Include in your discussion the identification of what is an indicator variable and what is continuous. You may use a small graph to supplement your discussion
