Fuel Efficiency and Scatter Plots

The video tutorial introduces bivariate data and scatter plots, using car models' weight and fuel efficiency as examples. It explains how to analyze data from a table to identify trends, such as the relationship between a vehicle's weight and its fuel efficiency. The tutorial guides viewers through constructing a scatter plot to visualize these trends, emphasizing that lighter vehicles generally have higher fuel efficiency.

What is bivariate data?

• Data involving two variables

• Data involving three variables

• Data involving four variables

• Data involving a single variable

What does the example table in the video show?

• The weight and fuel efficiency of car models

• The speed and color of cars

• The price and brand of cars

• The engine size and horsepower of cars

Which car model has the highest fuel efficiency in the table?

• Model number 5

• Model number 8

• Model number 10

• Model number 2

What is the weight of the vehicle with the highest fuel efficiency?

• 2,550 pounds

• 4,000 pounds

• 3,000 pounds

• 2,800 pounds

How does the weight of a vehicle generally affect its fuel efficiency?

• Heavier vehicles have higher fuel efficiency

• Weight does not affect fuel efficiency

• Lighter vehicles have higher fuel efficiency

• Heavier vehicles have the same fuel efficiency as lighter ones

Why do heavier vehicles like semi-trucks have lower fuel efficiency?

• They weigh more, making it harder to move

• They are more aerodynamic

• They use a different type of fuel

• They have smaller engines

What is the purpose of constructing a scatter plot?

• To list data in a table

• To see trends in data more easily

• To calculate averages

• To compare data with unrelated variables

On which axis is the weight of the vehicle plotted in the scatter plot?

• Y-axis

• Z-axis

• None of the above

• X-axis

What is the fuel efficiency of the vehicle weighing 4,050 pounds?

• 19 miles per gallon

• 28 miles per gallon

• 25 miles per gallon

• 22 miles per gallon

What should you do after plotting the first few data points on a scatter plot?

• Erase the plot and start over

• Change the axes

• Plot the rest of the data points

• Stop and analyze the data