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1. **Data Description:**
   The data table describes fuel economy for different motor vehicles, including variables such as:
   - Make and Model
   - Vehicle Class
   - Transmission Type
   - Number of Cylinders
   - City mpg (miles per gallon)
   - Highway mpg
   - Annual Fuel Cost

### Question a) What are the individuals in this data set?
- **Answer**: The individuals in the dataset are the **different motor vehicles** listed in the "Make and Model" column. Specifically:
  - Subaru Impreza
  - Nissan Rogue Sport
  - Hyundai Elantra
  - Chevrolet Impala

### Question b) How many variables are there in the data set?
- **Answer**: The variables are the characteristics or attributes listed in the columns. These include:
   1. Make and Model
   2. Vehicle Class
   3. Transmission Type
   4. Number of Cylinders
   5. City mpg
   6. Highway mpg
   7. Annual Fuel Cost

Thus, there are **7 variables** in the data set.

### Question c) Of all the given variables for each individual, how many are quantitative?
- **Answer**: Quantitative variables are those that represent numerical values or quantities. In this case, the quantitative variables are:
   - Number of Cylinders
   - City mpg
   - Highway mpg
   - Annual Fuel Cost

Therefore, there are **4 quantitative variables** in this dataset.

Would you like further details or explanations on any part of this? Here are some related questions to explore:

1. What are some examples of categorical variables in this dataset?
2. Why are "Make and Model" considered non-quantitative?
3. How do you determine if a variable is quantitative or categorical?
4. Could "Transmission Type" ever be considered a quantitative variable? Why or why not?
5. How can we use this dataset to estimate fuel efficiency trends across vehicle classes?

**Tip**: When analyzing data sets, always check the types of variables (quantitative or categorical) to determine appropriate statistical methods for analysis.

Fuel Economy. Here is a small part of a data set that describes the fuel economy in miles per gallon (mpg) of model year 2019 motor vehicles. Use the data set to answer the following questions: a) What are the individuals in this data set? b) How many variables are there in the data set? c) Of all the given variables for each individual, how many are quantitative?

Analyze a small part of a fuel economy data set for 2019 motor vehicles, identifying individuals, counting variables, and determining how many of the variables are quantitative. This problem is suitable for Grades 9-12 and covers key concepts in statistics and data interpretation.

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