How do you use linear models to make predictions?

Answer 1

extrapolate the data in a linear manner to predicate a value

For example making a graph of temperature vs volume can be used to predict a value for absolute zero. The linear line can be extended to find a predicted value for the temperature where there is zero volume. The place on the line where volume is zero would be predict value for absolute zero.

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Answer 2

Genesis Allen

To use linear models for predictions, you first need to determine the equation of the linear model based on available data. This typically involves finding the slope (m) and the y-intercept (b) of the line that best fits the data points. Once you have the equation (y = mx + b), you can plug in the value of the independent variable (x) for which you want to make a prediction and solve for the dependent variable (y). This process allows you to predict the value of y for a given x within the range of your data.

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.