Question

model 3 – more examples of graphs
graph d
(chocolate candy colors: bar graph with x-axis: blue, brown, green, orange, red, yellow; y-axis: average number of candies in bag)
graph e
(leg length vs. sprint time: scatter plot with x-axis: leg length (cm); y-axis: sprint time (sec))

1. identify the independent variable and dependent variable for each of the graphs in model 3.

(table: columns graph d, graph e; rows independent variable, dependent variable)

1. match the experimental questions below to the appropriate graph from model 3.

a. “is the number of candies in a bag of chocolates dependent on the color of the candy?”
graph ______

b. “does the length of a person’s leg affect the time it takes them to sprint 60 yards?”
graph ______

1. why was the data for graph d plotted in a bar graph?

Explanation:

Question 11

Step1: Analyze Graph D

Graph D is about Chocolate Candy Colors (x - axis) and Average Number of Candies in Bag (y - axis). The independent variable is the one that is manipulated or is the cause, so here it's the candy color. The dependent variable depends on the independent variable, so it's the average number of candies.

Step2: Analyze Graph E

Graph E is about Leg Length (x - axis) and Sprint Time (y - axis). The independent variable is leg length (the variable we might change or observe), and the dependent variable is sprint time (depends on leg length).

The question is about the number of candies depending on candy color. Graph D has candy color on the x - axis and number of candies on the y - axis, so it matches this question.

The question is about leg length affecting sprint time. Graph E has leg length on the x - axis and sprint time on the y - axis, so it matches this question.

Answer:

	Graph D	Graph E
Dependent Variable	Average Number of Candies in Bag	Sprint Time (sec)

Question 12

Part (a)