Comprehensive Assessment 1: Linear Models Exercise

Comprehensive Assessment 1: Linear Models

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Comprehensive Assessment 1: Linear Models

Test knowledge of linear models, best fit lines, and data interpretation. Demonstrate understanding of concepts across structured assessment items.

Questions

  1. MultiChoice

    A linear model for heating costs is y = -3.5x + 180 (x = outside temp °F, y = heating cost $). What is the slope?

  2. MultiChoice

    In y = -3.5x + 180, what happens to heating cost when outdoor temperature rises by 1°F?

  3. MultiChoice

    Predict the heating cost when the outside temperature is 20°F using y = -3.5x + 180.

  4. MultiChoice

    Which scatter plot pattern indicates a negative correlation?

  5. MultiChoice

    What is the primary criteria for placing a line of best fit by eye?

  6. MultiChoice

    If a line of best fit has y = 4x - 6, what is the y-intercept?

  7. MultiChoice

    Data was recorded for x from 5 to 25. Making a prediction for x = 18 is an example of:

  8. MultiChoice

    Data was recorded for x from 5 to 25. Making a prediction for x = 50 is an example of:

  9. MultiChoice

    How does an extreme high outlier affect the slope of a line of best fit?

  10. MultiChoice

    If two variables show no association on a scatter plot, their correlation is:

  11. MultiChoice

    Find the equation of the line passing through (0, 8) with slope -2.

  12. MultiChoice

    For the linear model y = -2x + 8, what is y when x = 5?