0
What else can I help you with?
Biologists find what useful because this scientific study gives them much information about based on its classification?
Biologists find classification useful because it helps organize and categorize living organisms based on their evolutionary relationships and characteristics. This aids in understanding biodiversity, making predictions about species traits, and guiding conservation efforts.
Why is sisal so useful?
Sisal is useful because it is a strong and durable natural fiber that is resistant to saltwater deterioration, making it suitable for use in a variety of applications such as rope, twine, rugs, and mats. It is also biodegradable and sustainable, making it an eco-friendly choice for many products.
What is one product of the light-dependent reaction?
The light dependent reaction produces two useful substances for the plant: ATP and NADPH. In addition it produces a waste product, oxygen gas. The ATP and the NADPH are then used in the light independent reaction. The oxygen is released into the atmosphere.
Which condition is necessary for an experiment to yield useful data?
In order for an experiment to yield useful data, it is necessary to have a carefully designed experimental setup that controls for variables, a clear research question or hypothesis to guide the experiment, and a sufficient sample size to ensure statistical significance. Additionally, the experiment should be replicable by other researchers to verify the results.
What type of figure would be most useful for complex processes such as cell division?
A flowchart or a process diagram would be most useful for complex processes such as cell division. These types of figures can visually represent the sequential steps involved in the process and the relationship between them, making it easier to understand the overall process.
What type is most useful for making predictions about predictions about dependent variables?
Data tabel
Which type of graph is most useful for making predictions dependent variables?
line graph
Which graph is most is most useful for making predictions about dependent variables?
line graph
Which type graph of graph is most useful for making predictions about dependent variables?
line graph
When this is strong can be useful for making predictions?
i believe the answer is.... A strong OBSERVATION can be useful for making predictions
What are generalizations that are useful in making predictions based on data?
Predictions
When is a bar graph useful?
when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.
Which graph is most useful for showing how the relationship between independent and dependent variables changes over time?
Time Series.
How do you use linear equation for forecasting?
Linear equations can be used for forecasting by establishing a relationship between a dependent variable (such as sales or demand) and one or more independent variables (like time, price, or marketing spend). By analyzing historical data, you can create a linear regression model to predict future values based on this relationship. Once the equation is formulated, you can input future values of the independent variables to estimate the dependent variable, aiding in decision-making and planning. This method is particularly useful for identifying trends and making data-driven forecasts.
Summarize how the periodic table is organized and tell this organization is useful?
The number of electrons an element has determine the organization. This table helps in making predictions about how an element will chemically react.
What variables are useful for two-way communication between modules?
Constant Variables
What is ex-post-facto design?
Ex Post Facto (also called Causal Comparative Research) is useful whenever: • We have two groups which differ on an independent variable and we want to test hypotheses about differences on one or more dependent variables OR • We have two groups which already differ on a dependent variable and we want to test hypotheses about differences on one or more independent variables
