Interpreting Linear Models - Pre Algebra
- In a linear model , what does represent in context?
- The initial value: the value of when .
- A car's value is modeled by , in thousands of dollars, where is age in years. What does mean?
- The car loses 0.8 thousand dollars (800 dollars) of value each year.
- In the model , is distance in miles and is time in hours. What are the units of the slope 60?
- Miles per hour. A slope has units of output units per input unit.
- The model was built from altitudes of 0 to 10 thousand feet. Which prediction is extrapolation: or ?
- . It lies outside the 0 to 10 range of the data; lies inside it.
- What is extrapolation when using a linear model?
- Using the model to predict values for inputs outside the range of the data used to build it.
- Why can extrapolation give unreasonable predictions?
- The linear trend may not continue outside the data range, so the model can predict impossible values, such as negative prices.
- A car's value is modeled by , in thousands of dollars, where is age in years. What does 24 mean?
- The model's value at age is 24 thousand dollars, the starting value.
- Subscribers are modeled by , in thousands, where is months since launch. What does 100 mean?
- There were 100 thousand subscribers at launch, when .
- The model (thousands of dollars) was built from cars aged 1 to 10 years. What value does it predict at ?
- thousand dollars, which is impossible. Age 40 is far outside the data, so this extrapolation is unreasonable.
- In a linear model , what does represent in context?
- The rate of change: how much changes for each increase of 1 in .
- What is a prediction made inside the range of the data used to build a model called?
- Interpolation. It is generally more reliable than extrapolation.
- A plant's height is modeled by , in centimeters, where is weeks. How much does the model say it grows each week?
- 1.5 centimeters per week, the slope.