Making Predictions: Interpolation Exercise

Making Predictions: Interpolation

15 minutes 2 views 0 saves EN
Send as Assignment
Making Predictions: Interpolation

Practice making predictions within the range of observed data using lines of best fit. Learn how to use trend lines for interpolation.

Questions

  1. MultiChoice

    What does 'interpolation' mean when using a line of best fit?

  2. MultiChoice

    Given the trend line equation y = 3x + 10, what is the predicted value of y when x = 4?

  3. MultiChoice

    A linear model y = -2x + 50 predicts exam performance. What is the predicted score for x = 10?

  4. MultiChoice

    A scatter plot of height (x in inches) vs weight (y in lbs) has line y = 4x - 130. Predict weight for height x = 65.

  5. MultiChoice

    The best fit equation for study time (x hours) vs test score (y) is y = 6x + 55. What score is expected for 5 hours of study?

  6. MultiChoice

    A best fit line is y = 1.5x + 2. If y = 11, what is the predicted value of x?

  7. MultiChoice

    Data was collected for temperatures between 50°F and 90°F. Predicting a value at 70°F is an example of:

  8. MultiChoice

    A line model y = -0.5x + 20 represents ice remaining (y kg) after x hours. Predict ice left at x = 8 hours.

  9. MultiChoice

    If a line of best fit is y = 0.8x + 15, what is the estimated y-value when x = 25?

  10. MultiChoice

    A linear model predicts plant growth: y = 2x + 3 (x in weeks). How tall is the plant predicted to be at week 4?

  11. MultiChoice

    For the equation y = -4x + 100, find x when the predicted y is 60.

  12. MultiChoice

    Why is interpolation generally considered reliable?