A regression is used to understand: a. the basic statistics, including the mean, standard deviation, minimums, and maximums of a data set. b. the frequency of the data using a display of rectangles with area proportional to the underlying frequency of the data. c. the relation between specific dependent variable values and independent variable inputs. d. the probability of a statistical difference in means between either two independent samples or a paired sample through time.
1) the basic statistics, including the mean, standard deviation, minimums, and maximums of a data set.
2) the frequency of the data using a display of rectangles with area proportional to the underlying frequency of the data.
3) the relation between specific dependent variable values and independent variable inputs.
4) the probability of a statistical difference in means between either two independent samples or a paired sample through time.