The number of snow boots purchased at a store is positively
correlated with each of the following
variables. A change in which of the
variables most likely causes a change
in the number of snow boots
purchased?
Answer Choices:
The number of mittens purchased at
the store
The amount of snowfall in the city in
which the store is located
The number of snowmen built by
customers of the store
The amount of time it took
employees to drive to the store

Suppose you are going to graph the data in the table. minutes temperature (°c) 0 -2 1 1 2 3 3 4 4 5 5 -4 6 2 7 -3 what data should be represented on each axis, and what should the axis increments be? x-axis: minutes in increments of 1; y-axis: temperature in increments of 5 x-axis: temperature in increments of 5; y-axis: minutes in increments of 1 x-axis: minutes in increments of 1; y-axis: temperature in increments of 1 x-axis: temperature in increments of 1; y-axis: minutes in increments of 5

You were told that the amount of time lapsed between consecutive trades on the new york stock exchange followed a normal distribution with a mean of 15 seconds. you were also told that the probability that the time lapsed between two consecutive trades to fall between 16 to 17 seconds was 13%. the probability that the time lapsed between two consecutive trades would fall below 13 seconds was 7%. what is the probability that the time lapsed between two consecutive trades will be between 14 and 15 seconds?

The table represents a function f(x). what is f(3)? a.-9 b.-1 c.1 d.9