Answer:
a. Independent Variable: throwing clothes (i.e., the bedroom)
b. Dependent Variable: how clean the floor is
c. Control Variable: throwing clothes into the air
Explanation:
The independent variable is a variable that isn't modified by the other variables measured in the experiment. Conversely, the dependent variable is the variable measured in the experiment which is 'dependent' on the independent variable. Finally, the control variable is a variable that is constant (i.e., unmodified) throughout the course of the experiment.
Answer:
A snowshoe hare produces a white coat during the winter, allowing it to better hide from predators. As a result, it has thrived and over time a majority of snowshoe hares in the population also produce white coats in the winter. Which of the statements is/are true?
The white-coated hare has a competitive advantage in its environment.
The new population of hares resulted from natural selection.
Explanation:
The analogy shown above describes the law of natural selection which explains why the organism that fits into a new environment survives as a result of inheritance of a distinct trait that differentiate them from others. Also, the organism has greater advantage over the environment because it has device means of survival over time
C. Sedimentary Layers, sedimentary rocks are created as a result of high pressure :)
I hope this helped!
The best way for LeeAnn to display her data for analysis so she can make predictions about the amount of light needed for maximum growth would be in a line graph.
A line graph is a chart that displays quantitative values over a period of time. A line graph is commonly used to display trends in a dataset and to evaluate how the data has changed over time. The line graph is made up of a horizontal x-axis and a vertical y-axis and each axis is labeled with a data type. In a line graph, the data points are plotted and are later joined by a line. The direction of the lines across the graph produces patterns that show the relationship between all the different variables in a dataset.
