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What else can I help you with?
What is a prediction and how do we make prediction from data?
Dan Henderson vs. Rashad Evans Prediction
What is the process of extending a graph beyond given data to make a prediction?
The first step would be to determine the nature of the relationship between the variables using the graph and any other relevant informaton. The next stage would be to use regression techniques to calculate a curve of best fit to the observations. This curve may be extended beyond the data but, the further the distance from the actual observations, the greater the likely error in the extrapolation
What does it mean when the data supports the hypothesis?
It means that your prediction was accurate.
To make generalizations about future events based on inferences from data?
Prediction... Foretelling... Extrapolation...
What is data extrapolation?
An extension or projection beyond the limit of the data is extrapolation.
What is a prediction and how do we make prediction from data?
Dan Henderson vs. Rashad Evans Prediction
When comparing the 95 percent confidence and prediction intervals for a given regression analysis what is the relation between confidence and prediction interval?
Confidence interval considers the entire data series to fix the band width with mean and standard deviation considers the present data where as prediction interval is for independent value and for future values.
To use given data to estimate a value beyond?
The word that you are looking for is "extrapolation".
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.
How could you test a prediction?
This is a process wherein a forecast of events is based on observation. Predictions can reliable only when there is regularity in the changes observed. Predictions are also safe if the variables can be controlled or if there are less variables that can possibly affect predictions. One can predict what is to happen at a certain time when predictions are based on observations and past experience. Predictions, therefore, can be within or beyond observed events.Interpolation is a prediction made based on observed data, while extrapolation is a forecast beyond observed data.
What is the process of extending a graph beyond given data to make a prediction?
The first step would be to determine the nature of the relationship between the variables using the graph and any other relevant informaton. The next stage would be to use regression techniques to calculate a curve of best fit to the observations. This curve may be extended beyond the data but, the further the distance from the actual observations, the greater the likely error in the extrapolation
What step follows making a prediction?
After making a prediction, the next step is to conduct an experiment or gather data to test the validity of the prediction. This allows you to evaluate whether your prediction was accurate and make any necessary adjustments.
In a scientific method what step follows making a prediction?
Conducting an experiment
What is the difference between a prophecy and a prediction?
A prophecy is a prediction made from alleged divine inspiration or divine revelation.Answer:They are basically the same. A prophecy is a "prediction" made by God and spoken through a chosen person. The only difference is between a prediction made by a man and a prediction of God. A prediction made by man is just a "guess" and may not come true. Whereas a prediction of God is given from His foreknowledge of future events and will come true.
In math class using given data to estimate a value beyond the known values is?
It is called extrapolation.
What steps follows making prediction?
After making a prediction, gathering and analyzing the data is the next appropriate step.
What do the letters of the R.E.C.A.L.L. method stand for?
Reason (why you did this) Experimental design (procedure) Call back data (reference to data) Compare to hypothesis (compare the results to your prediction) Analyze of the data (what does the data mean) Lapses (errors) Light Bulb (learned) Source: Myself
