Answer 1)
Not 2 bc they don’t come from the soil, they are made by plants through photosynthesis.
Not 3 bc I’m pretty sure sugar is not the only source of food for plants.
Not 4, I’m not exactly sure why not 4, but my gut is saying 1.
Sorry the explanation is not super helpful.
Answer:
stem cells
Explanation:
Stem cells differ from other kinds of cells in the body. All stem cells—regardless of their source—have three general properties: they are capable of dividing and renewing themselves for long periods; they are unspecialized; and they can give rise to specialized cell types.
The improvement of nutritional quality, economic resources, the production of crops, and the marketing of crops.
The improvement of nutritional quality will help make better crops so that they turn out beautiful.
Economic resources helps make the crops so that you have a ton of crops.
The production of crops will help with more sustainable farming.
The marketing of crops will help you with getting money and to afford for making more crops next year.
Answer:
B.
Theories unify a broad range of observations and hypotheses.
Answer & Explanation:
First, correlation and causation both need an independent and dependent variable. An independent variable is a condition or piece of data in an experiment that can be controlled or changed. A dependent variable is a condition or piece of data in an experiment that is controlled or influenced by an outside factor, most often the independent variable.
If there is a correlation, then sometimes we can assume that the dependent variable changes solely because the independent variables change. This is where the debate between correlation and causation occurs. However, there is a difference between cause and effect (causation) and relationship (correlation). Sometimes these areas can be confused and muddled when analyzing data.
- You probably know that a correlation is the relationship between two sets of variables used to describe or predict information. There is an emphasis here on relationship. Sometimes we can use correlation to find causality, but not always. Remember that correlation can either be positive or negative.
A positive correlation, where the dependent variables and independent variables in a data set increase or decrease together. If the numbers sloped downward, then you have a data set with a negative correlation, where the dependent variables and independent variables in a data set either increase or decrease opposite from one another.
Whilst a negative correlation means if the independent variables decrease, then the dependent variable would increase, and vice versa.
- Causation, also known as cause and effect, is when an observed event or action appears to have caused a second event or action. For example, I bought a brand new bed comforter and placed it in my washing machine to be cleaned. After cleaning the comforter, my washing machine stopped working. I may assume that the first action, washing the comforter, caused the second action, broken washing machine.
<em>I hope this helped! :)</em>
