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Data collected from a random group has no value in predicting actual results?
False
How does data mining work?
Data mining is effectively storing and analysing old pieces of data and predicting what's going to happened in future based on trends and patterns in that data.
How are inferring and predicting related?
Inferring means when you explain or interpret the things you observe. Predicting means is when you predict that something is gonna happen. It's like a 50/50 chance it will happen, your predicting it. I think they are similar because you are both explaining what is gonna happen. For Inferring you're explaining the things that you have observed and for predicting you are explaining something that you think will happen. You both have evidence to back up the problem. AND THEN YOU WILL SUCK MY COCK
What does the multiple standard error of estimate measure?
It measures the error or variability in predicting Y.
What is a method of estimating or predicting an approximate number of events among a large set of items?
samplingsampling
Predicting data between two known pieces is called?
Predicting data between two known pieces is called forecasting. This is commonly applied in business planning and can be used as the basis for critical decisions.
Data collected from a random group has no value in predicting actual results?
False
How does data mining work?
Data mining is effectively storing and analysing old pieces of data and predicting what's going to happened in future based on trends and patterns in that data.
What is the difference between calculated data and raw data in science?
Calculated data is data attained from a theory and or formula. Raw data is data accumulated from an observation or experiment. If the calculated data from a theory is successful in predicting the raw data of an observation/experiment, then the theory is strengthened.
What are the 2 kinds of predictions?
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Which is reliable interpolation or extrapolation?
interpolation, because we are predicting from data in the range used to create the least-squares line.
What is going beyond plotted data to make a prediction using a best fit line?
If you are predicting a point that's outside of the data range, it is known as extrapolation. If it is within the data range it is interpolation and is much more reliable.
What are three in which geologist use seismograph data?
They map faults, detect changes along faults, and develop a method of predicting earthquakes
What are predicting variables?
Predicting variables are variables used in statistical and machine learning models to predict an outcome or target variable. These variables are used to forecast or estimate the value of the target variable based on their relationships and patterns in the data. Selecting relevant predicting variables is important for building accurate and effective predictive models.
What is predicting outlines?
what is predicting outline
Why do we need to measure weather and keep the record?
Models for predicting weather rely heavily on using past meteorological data for development and testing.
What are three ways in which geologists use seismographs data?
They map faults, detect changes along faults, and develop a method of predicting earthquakes
