Data from gapminder.org on 184 countries was used to examine if there is an association between (average) female life expectancy (that is, the average lifespan of women in the country) and the average number of children women give birth to for the year 2019. A scatterplot of the data and a regression table from the Corr/Regression applet follows. A 95% confidence interval for the population slope is (-5.68, -4.73). How would you interpret this interval in the context of the study? A one baby increase in average number of babies per woman is associated with between a 4.73 and 5.68 year decrease in female life expectancy, with 95% confidence. A one baby increase in average number of babies per woman is associated with between a 4.73 and 5.68 year increase in female life expectancy, with 95% confidence. There is a 95% probability that the population slope is between -5.68 and -4.73. If we repeated this study many times, 95% of the regression slopes would fall between -5.68 and -4.73