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What variables would you predict to be regulated by the body using homeostatic mechanism?
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What are the five weather variables that are collected by weather service computers in order to predict weather patterns?
Temperature, barometric pressure, wind speed and direction, precipitation, and humidity and dew point.
How do scientists draw conclusions about whether a model reflects reality?
They predict the future values of relevant variables using the model, then wait for the future to come and see if the predictions were right. For example, ALL of the Global Warming Models completely FAILED to predict the temperatures of the last 10-15 years. That means they do not reflect reality very well.
How does correlation help scientists?
The principal advantage over casual comparative or experimental designs is that they enable researchers to analyze the relationships among a large number of variables in a single study. Another advantage of correlational designs is that they provide information concerning the degree of the relationship between the variables being studied. Correlational research designs are used for two major purposes: (1) to explore casual relationship between variables and (2) to predict scores on one variable from research participants' scores on other variables.
How did Mendeleev predict the properties of silicon?
Mendeleev did not predict the properties of silicon.
Can meteorologists predict volcanoes?
The fact of whether or not geologists can measure or predict a valcano is silly each valcano is different and it is of nature thus there is not way to predict what it will do and when it will do it.
What are predicting variables?
Variables that you predict.
Why is it difficult for To predict how much someone needs for his or her?
There are too many variables and unknown factors.
Why is it difficult to predict how much money someone will need for his or her retirement?
There are too many variables and unknown factors.
What is the primary variable for predicting the likelihood of joining an interest group?
There are primary variables that predict the likelihood of joining an interest group. The primary variables are a higher income and a higher level of education.
What are the chief variables in demand forecasting?
The chief variables in demand forecasting include historical sales data, market trends, consumer preferences, economic conditions, seasonality, and competitive factors. These variables help businesses predict future demand for their products or services accurately.
Why is it difficult to predict rainfall?
It is difficult to predict whether or not it will rain, not to mention how much it will rain, because the amount of rain depends on the complex interaction of many variables, including humidity, temperature, terrain, winds, and other factors.
What are the benefits of graphical representation of equations?
Graphing an equation allows you to visualize the relationship between variables and predict values of one relative to the other
What demographic variables best predict how an individual is likely to vote?
Partisanship Age Gender Income level Education level Race, ethnicity
What Is a procedure which allows us to predict an individual's score on one variable based on knowing one or more other variables?
regression analysis
Why is it sometimes more difficult to predict local weather conditions?
Because there are way too many weather variables. For instance, car pollution changes the weather. Localy there are less variables. So if a big SUV were to pass by an agricutural town it would change the weather.
Use of regression and financial ratio for analysis?
Regression can be used to predict any increase of default when macroeconomic variables are added in a financial ratios model. Regressions can begin with ratios initially, but also can be adjusted when other variables are included.
What is the explanatory variable?
An explanatory variable is one which may be used to explain or predict changes in the values of another variable. There may be several explanatory variables.
