Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regressio equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. Calories, x 150 180 120 130 90 190 (a) x 170 calories 140 calories (b)x= 100 calories (d) x 210 calories Sodium, y 430 480 350 370 290 530 (c) x Find the regression equation. y=x+ (Round to three decimal places as needed.) REED

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 22PFA
icon
Related questions
Question
### Regression Analysis of Caloric and Sodium Content in Beef Hot Dogs

#### Task:
1. Find the equation of the regression line for the given data.
2. Construct a scatter plot of the data and draw the regression line (Each pair of variables has a significant correlation).
3. Use the regression equation to predict the value of `y` for each of the given `x`-values if meaningful. 

The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below: 

| Calories, x | Sodium, y |
|-------------|-----------|
| 150         | 430       |
| 180         | 480       |
| 120         | 350       |
| 130         | 370       |
| 90          | 290       |
| 190         | 530       |

#### Predict Sodium Content for Given Caloric Values
1. \( x = 170 \) calories
2. \( x = 100 \) calories
3. \( x = 140 \) calories
4. \( x = 210 \) calories

#### Finding the Regression Equation
\[ 
\hat{y} = \boxed{\phantom{000}} x + \boxed{\phantom{000}} 
\]
(Round to three decimal places as needed.)

### Analysis Procedure:

1. **Data Collection and Visualization:**
    - Collect data of calories and sodium content.
    - Plot the collected data on a scatter plot with calories on the x-axis and sodium on the y-axis.

2. **Equation of the Regression Line:**
    - Apply the least-squares method to determine the best-fitting line.
    - Use statistical software or manual calculations to derive the regression equation.

3. **Prediction:**
    - Utilize the regression equation to predict the sodium content for the given caloric values.

In this educational exercise, understanding how to derive the regression line and using it for predictions highlights the importance of statistical methods in practical applications.
Transcribed Image Text:### Regression Analysis of Caloric and Sodium Content in Beef Hot Dogs #### Task: 1. Find the equation of the regression line for the given data. 2. Construct a scatter plot of the data and draw the regression line (Each pair of variables has a significant correlation). 3. Use the regression equation to predict the value of `y` for each of the given `x`-values if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below: | Calories, x | Sodium, y | |-------------|-----------| | 150 | 430 | | 180 | 480 | | 120 | 350 | | 130 | 370 | | 90 | 290 | | 190 | 530 | #### Predict Sodium Content for Given Caloric Values 1. \( x = 170 \) calories 2. \( x = 100 \) calories 3. \( x = 140 \) calories 4. \( x = 210 \) calories #### Finding the Regression Equation \[ \hat{y} = \boxed{\phantom{000}} x + \boxed{\phantom{000}} \] (Round to three decimal places as needed.) ### Analysis Procedure: 1. **Data Collection and Visualization:** - Collect data of calories and sodium content. - Plot the collected data on a scatter plot with calories on the x-axis and sodium on the y-axis. 2. **Equation of the Regression Line:** - Apply the least-squares method to determine the best-fitting line. - Use statistical software or manual calculations to derive the regression equation. 3. **Prediction:** - Utilize the regression equation to predict the sodium content for the given caloric values. In this educational exercise, understanding how to derive the regression line and using it for predictions highlights the importance of statistical methods in practical applications.
Expert Solution
steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Functions and Change: A Modeling Approach to Coll…
Functions and Change: A Modeling Approach to Coll…
Algebra
ISBN:
9781337111348
Author:
Bruce Crauder, Benny Evans, Alan Noell
Publisher:
Cengage Learning
Calculus For The Life Sciences
Calculus For The Life Sciences
Calculus
ISBN:
9780321964038
Author:
GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:
Pearson Addison Wesley,
Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Algebra
ISBN:
9781680331141
Author:
HOUGHTON MIFFLIN HARCOURT
Publisher:
Houghton Mifflin Harcourt