1) The "solubility" of the solid in question (not all WILL dissolve) - or the nature of the solid itself. 2)Presence (or lack of) mechanical agitation to assist the solid dissolve. 3)Temperature of the water (The warmer it is, usually the quicker the solid dissolves)
Temperature and density of the liquid, and the state of the compound being dissolved (salt in small granules will dissolve faster than a large cube of it) will affect the dissolution rate.
The effect is unpredictable because the ice changes two variables at the same time.
The amount of resources and how big the population is.
the amount of fluctuating current and heat will effect resistancephysical properties as well as impurities
More solvent can dissolve more solute.
temperature, pH, concentration of enzymes, and concentration of substrates.
Cause variables are factors that directly influence or produce an effect on another variable. Effect variables are outcomes or results that are influenced by the cause variables. Understanding the relationships between cause and effect variables helps to analyze and predict how changes in one variable impact another.
The effect is unpredictable because the ice changes two variables at the same time.
certain factors the amount of water that can be stored released by a watersheds to rivers lakes and other bodies of water
An experimental research method involves manipulating independent variables to observe their effects on dependent variables, allowing researchers to establish cause-and-effect relationships. By controlling and manipulating factors, researchers can determine the impact of specific variables on behavior or outcomes.
The variable YOU change which will in turn effect another variable (the dependent variable). The controlled variable is plotted on the x - axis of a graph.
'Known' Variables
The amount of resources and how big the population is.
Controlled variables are things that may effect the outcome of an experiment, like temperature are pressure or the amount of some substance used. Dependent variables are those which change due to the conditions mentioned above. These might be speed of the reaction, or the quantity of some product.
Endogenous variables are important in econometrics and economic modeling because they show whether a variable causes a particular effect. Economists employ causal modeling to explain outcomes (dependent variables) based on a variety of factors (independent variables), and to determine to which extent a result can be attributed to an endogenous or exogenous cause.
If none of the variables are constant (or controls) you have no idea which variable or combination of variables caused the effect.
The experiment method is most helpful for revealing cause-effect relationships as it involves manipulating variables to see the effect on another variable. This allows for establishing causal relationships between variables by controlling for confounding factors.
Investigators use laboratory experiments to exercise maximum control over the factors they are interested in studying. This method allows researchers to manipulate variables, control the environment, and establish cause-and-effect relationships between variables.