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Q: Is the best-fit line helpful in estimating values of data points?
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The best fit line is helpful in estimating values of data points?

True


The process of estimating values between measured data points is called?

Interpolation.


What happens in the interpolation process?

Interpolation is a method of constructing new data points within the range of a discrete set of known data points. Basically it's a way of estimating certain values, based on information that is already given.


Values on math?

Math has many values like estimating can help you determine an amount you have to pay.


What is estimating a value beyond a given set of values called?

It is called extrapolation.


What is estimating a value between two known values in a data set is called?

If you know the two values you shouldn't have to estimate. But you are looking for the mean, or average. Simply add them together and divide by two. Otherwise you are just estimating.


Differentiate between extrapolation and interpolation?

Extrapolation involves predicting values outside of the range of known data, while interpolation involves estimating values within the known data range. Extrapolation assumes that the pattern observed in existing data continues beyond what is measured, which can lead to more uncertainty compared to interpolation. Interpolation, on the other hand, is used to estimate values between existing data points.


When we use a least-squares line to predict y values for x values beyond the range of x values found in the data are we extrapolating or interpolating?

If you're estimating a point OUTSIDE the data range, it's extrapolating. If you're estimating a point WITHIN the data range, it's interpolating.


When material prices may vary significantly from current inventory values which estimating method should be used?

government


What is the slope of the line that contains the points?

It's (the difference in the points' y-values) divided by (the difference in their x-values)


How do you determine if the points on a graph are invalid?

Plug the x-values into the original equation. If you get the same y-values, then the points are valid.


How do you find the quadrant number of a point?

If the points have both positive y-values and x-values it is quadrant 1 If the points have a negative x-value and a positive y-value it is quadrant 2 If the points have both negative y-values and x-values it is quadrant 3 If the points have a positive x-values and a negative y-value it is quadrant 4