Form 14: Real-World Scenarios - Science & Economics Exercise

Form 14: Real-World Scenarios - Science & Economics

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Form 14: Real-World Scenarios - Science & Economics

Solve real-world problems involving scatter plots and bivariate data in science and economics contexts.

Questions

  1. MultiChoice

    Altitude above sea level versus atmospheric pressure exhibits what association?

  2. MultiChoice

    Engine size in liters versus fuel consumption in gallons per 100 miles shows what association?

  3. MultiChoice

    Weight of a vehicle versus fuel efficiency in miles per gallon (MPG) exhibits what association?

  4. MultiChoice

    Number of solar panels installed versus electricity generated in kWh shows what association?

  5. MultiChoice

    Serial number of a laptop versus battery life in hours shows what association?

  6. MultiChoice

    Square footage of a house versus monthly heating bill in winter displays what association?

  7. MultiChoice

    In line y = 0.15x + 20 for electric bill (y) vs kWh used (x), what does 0.15 represent?

  8. MultiChoice

    In line y = 0.15x + 20 for electric bill (y) vs kWh used (x), what does 20 represent?

  9. MultiChoice

    Predict electric bill y for x = 300 kWh using y = 0.15x + 20.

  10. MultiChoice

    Which science relationship would yield a PERFECT positive linear scatter plot?

  11. MultiChoice

    In plot of vehicle weight vs MPG (negative trend), which point is an outlier?

  12. MultiChoice

    In a physics lab measuring speed of a toy car, which variables form bivariate data?