By it alleles, and there genes what one plant have the other may not have see it all depends on the out come of the alleles-genes that they come up with .
This shouldd helpp broo .
Answer:
light is the independent variable, height of the plant is the dependent variable. Dependent is the effect that based on the independent.
Explanation:
lets break it down. 1) you want to know the effect of something you apply from one thing to another. Let say, if you grow your plants under the sunlight, the plants grow taller. In this case, the sunshine is the independent variable whereas the height of the plant/how tall it can grow is the dependent variable. 2)NOW, before i give the answer. The design of the question is not good for high school students. i think your teacher thinks "light" is the independent variable. 3)However, the question contains confounding variables in it because different lights might produce different effects to the height of the plants. If you want to test if plants are exposed to light grows taller than plants do not expose to light, then you should have all the lights are the same. 4) So, all the plants should be exposed to one certain light to avoid confounding. Confounding means that either red light and sunlight are both produce the same effect whereas the other colors do not help the plants to grow taller. 5)Your teacher should test one light at a time. So, if he is testing with all different colors of light, then light is the independent variable, and height of the plant is the dependent variable.
Answers:
D) According to the graph, obesity and diabetes are intertwined, which could be why obesity and diabetes are linked.
E) Diabetes had the greatest rise in prevalence in 1997 until 2000, with prevalence percentages between about 76% to 78%.
Explanation: Explanation for these answers are below:
D) Looking at the graph, obesity and diabetes had similar prevalences in 1997 and 1998, and started to part ways a little in 1999. In fact, even without the graph, scientists have known for a long time that people who have obesity also have diabetes. This graph supports that claim because of how closely linked diabetes and obesity are and how similar the prevalence percentages are.
E) Diabetes had the greatest rise in 1997 to 2000, which had a 78% prevalence by 2000. Obesity had very similar prevalence percentages from 75.5% to 77% in 1997 to 2000.
Observable characteristics would be referred to as "traits".
