Descriptive Analysis Paper

Conclusion
The sample from the data set shared in the paper provided 189 values with 10 different variables involving mothers and their newborn babies. The information was used to analyze the statistical data of the sample to identify low birth weight of babies and any relation to the other provided variables. The analytics were conducted through the use of two descriptive analysis tests, three hypotheses testing, and a multiple regression model. The descriptive analysis basically showed that the average age of the moms seemed to be around the age of 23. The descriptive analysis also showed that the majority of the moms weighed between 100 and 125-pounds at their last menstrual age. The descriptive analysis testing provided information, but how the information was relevant to the low birth
The hypothesis testing lacked evidence to show a dependent relationship between the selections of races and the low birth weights of the babies. However, the correlation hypothesis test did conclude that a correlation does exist between the weight of the moms at the last menstrual period and the birth weight of the babies. The multiple regression model used multiple variables all at the same time testing for correlation. It confirmed again that a correlation between the birth weight and the weight of the mom at the last menstrual period did exist. In conclusion to the multiple testing of the data set, it is safe to conclude that a significant correlation does exist between the variables. We conclude that the weight of the mom at the last menstrual period may be a risk factor to low