**Car's Fuel Efficiency** *Source: Rossman/Chance Workshop Statistics, 2nd ed.* The table below reports the EPA's city miles per gallon rating and the weight (in pounds) for the sports cars described in *Consumer Reports 1999 New Car Buying Guide*. (EPA rating for Audi was not reported.) | Model | City MPG | Weight | |----------------------|----------|--------| | Audi TT | - | 2655 | | BMW 318Ti | 26 | 2790 | | BMW Z3 | 19 | 2960 | | Chevrolet Camaro | 17 | 3455 | | Chevrolet Corvette | 17 | 3295 | | Ford Mustang | 17 | 3270 | | Honda Prelude | 22 | 3040 | | Hyundai Tiburon | 22 | 2705 | | Mazda MX-5 Miata | 25 | 2365 | | Mercedes/Benz SLK | - | - | | Mercury Cougar | 20 | 3140 | | Mitsubishi Eclipse | 23 | 3235 | | Pontiac Firebird | 19 | 3545 | | Porsche Boxster | 19 | 2905 | | Saturn SC | 27 | 2420 | | Toyota Celica | 22 | 2720 | **A) Observational Units** Identify the Observational Units here. Determine how many variables are reported in the table for each observational unit, and identify each variable's type (Categorical or Quantitative). **Boxed Note:** The simplest graph for displaying two **quantitative variables** simultaneously is a **scatterplot**. A dot is placed for each observational pair at the intersection of its two values. The variable to be predicted (the **Response Variable**) is usually on the vertical axis, while the variable to do the predicting (the **Explanatory Variable**) is on the horizontal axis. **B) Scatterplot Construction** Use the provided axes to construct a scatterplot of miles per gallon versus weight. **Miles per Gallon vs Weight Graph:** - Vertical Axis: "City MPG" ranging from 20 to 30 - Horizontal Axis: "Weight" ranging from 2000 to
**Car's Fuel Efficiency** *Source: Rossman/Chance Workshop Statistics, 2nd ed.* The table below reports the EPA's city miles per gallon rating and the weight (in pounds) for the sports cars described in *Consumer Reports 1999 New Car Buying Guide*. (EPA rating for Audi was not reported.) | Model | City MPG | Weight | |----------------------|----------|--------| | Audi TT | - | 2655 | | BMW 318Ti | 26 | 2790 | | BMW Z3 | 19 | 2960 | | Chevrolet Camaro | 17 | 3455 | | Chevrolet Corvette | 17 | 3295 | | Ford Mustang | 17 | 3270 | | Honda Prelude | 22 | 3040 | | Hyundai Tiburon | 22 | 2705 | | Mazda MX-5 Miata | 25 | 2365 | | Mercedes/Benz SLK | - | - | | Mercury Cougar | 20 | 3140 | | Mitsubishi Eclipse | 23 | 3235 | | Pontiac Firebird | 19 | 3545 | | Porsche Boxster | 19 | 2905 | | Saturn SC | 27 | 2420 | | Toyota Celica | 22 | 2720 | **A) Observational Units** Identify the Observational Units here. Determine how many variables are reported in the table for each observational unit, and identify each variable's type (Categorical or Quantitative). **Boxed Note:** The simplest graph for displaying two **quantitative variables** simultaneously is a **scatterplot**. A dot is placed for each observational pair at the intersection of its two values. The variable to be predicted (the **Response Variable**) is usually on the vertical axis, while the variable to do the predicting (the **Explanatory Variable**) is on the horizontal axis. **B) Scatterplot Construction** Use the provided axes to construct a scatterplot of miles per gallon versus weight. **Miles per Gallon vs Weight Graph:** - Vertical Axis: "City MPG" ranging from 20 to 30 - Horizontal Axis: "Weight" ranging from 2000 to
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.3: Using Data Displays
Problem 1E
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Can you please answer the problem below. Thanks.

Transcribed Image Text:**Car's Fuel Efficiency**
*Source: Rossman/Chance Workshop Statistics, 2nd ed.*
The table below reports the EPA's city miles per gallon rating and the weight (in pounds) for the sports cars described in *Consumer Reports 1999 New Car Buying Guide*. (EPA rating for Audi was not reported.)
| Model | City MPG | Weight |
|----------------------|----------|--------|
| Audi TT | - | 2655 |
| BMW 318Ti | 26 | 2790 |
| BMW Z3 | 19 | 2960 |
| Chevrolet Camaro | 17 | 3455 |
| Chevrolet Corvette | 17 | 3295 |
| Ford Mustang | 17 | 3270 |
| Honda Prelude | 22 | 3040 |
| Hyundai Tiburon | 22 | 2705 |
| Mazda MX-5 Miata | 25 | 2365 |
| Mercedes/Benz SLK | - | - |
| Mercury Cougar | 20 | 3140 |
| Mitsubishi Eclipse | 23 | 3235 |
| Pontiac Firebird | 19 | 3545 |
| Porsche Boxster | 19 | 2905 |
| Saturn SC | 27 | 2420 |
| Toyota Celica | 22 | 2720 |
**A) Observational Units**
Identify the Observational Units here. Determine how many variables are reported in the table for each observational unit, and identify each variable's type (Categorical or Quantitative).
**Boxed Note:**
The simplest graph for displaying two **quantitative variables** simultaneously is a **scatterplot**. A dot is placed for each observational pair at the intersection of its two values. The variable to be predicted (the **Response Variable**) is usually on the vertical axis, while the variable to do the predicting (the **Explanatory Variable**) is on the horizontal axis.
**B) Scatterplot Construction**
Use the provided axes to construct a scatterplot of miles per gallon versus weight.
**Miles per Gallon vs Weight Graph:**
- Vertical Axis: "City MPG" ranging from 20 to 30
- Horizontal Axis: "Weight" ranging from 2000 to
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VIEWStep 3: Construct the scatterplot of miles per gallon vs weight.
VIEWStep 4: Identify the relationship between a car's weight and its fuel efficiency using scatterplot.
VIEWStep 5: Determine example of car that weighs more than another still manages to have better fuel effiency.
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