1. Run a regression using birthweight as the dependent variable, and using smoker as the first independent variable, then include as many of the variables as you think are appropriate for the multivariate regression analysis. Report the regression prediction here and then interpret the results. (pay close attention to the tripre0, tripre1, tripre2, and tripre3 variables

I need help with interpreting the results

Stock/Watson - Introduction to Econometrics 4th Edition Documentation for Birthweight_Smoking The datafile Birthweight_Smoking is from the 1989 linked National Natality-Mortality Detail files, which contains a census of infant births and deaths. The data in bw_smoking.data are for births in Pennsylvania in 1989. These data were provided by Professors Douglas Almond, Kenneth Chay, and David Lee and are a subset of the data used in their paper "The Costs of Low Birth Weight," Quarterly Journal of Economics, August 2005, 120(3): 1031-1083. The file contains 3,000 observations on the variables described below Variable Description Birthweight and Smoking birthweight 1 birth weight of infant (in grams) smoker 2 indicator equal to one if the mother smoked during pregnancy and zero, otherwise. Mother's Attributes 3 age age educ 4 years of educational attainment (more than 16 years coded as 17) unmarried 5 indicator =1 if mother is unmarried This Pregnancy alcohol 6 indicator=1 if mother drank alcohol during pregnancy drinks 7 number of drinks per week tripre1 8 indicator=1 if 1st prenatal care visit in 1st trimester tripre2 9 indicator=1 if 1st prenatal care visit in 2nd trimester tripre3 10 indicator=1 if 1st prenatal care visit in 3rd trimester tripre0 11 indicator=1 if no prenatal visits nprevist 12 total number of prenatal visits @2018 Pearson Education, Inc.Call: Im(formula = birthweight ~ smoker + tripred + triprel + tripre2 + tripre3, data = df) Residuals: Min 10 Median 30 Max -3029.41 -307.41 31.09 372.59 2401.52 Coefficients: (1 not defined because of singularities) Estimate Std. Error + value Pr(>Itl) (Intercept) 3317.35 58.98 56.249