Which of the following best describes S. a. It is the ratio of the sample variances and it gives us a numerical conclusion on whether the variances are " equal" or not. b. It is the ratio of good variation to bad variation in ANOVA. We want this ratio to be close to 1, meaning that our model explains almost all variation in the response. c. It is the ratio of the sample standard deviation of the joint XY distribution to the joint XX distribution. J. It is the estimated slope of the regression line. If Y varies more around its mean than X does, then the slope will be either more positive or more negative. e. It is the ratio of the two values and ranges from -1 to +1