Consider the following. X y 1 2 2 6 (a) Find an equation of the least-squares line for the data. (Round your numerical values to one decimal place.) 15 3 10 y = X Check the degree of your polynomial. 10 4 10 (b) Draw a scatter diagram for the data and graph the least-squares line. y y 5 4 6 15 10 5 2 6 X

Calculus: Early Transcendentals
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Author:James Stewart
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Chapter1: Functions And Models
Section: Chapter Questions
Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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The image contains four scatter plots, each displaying a set of data points and a line representing a trend or fit. Below is a detailed description of each plot:

### Top Left Plot (Plot a)
- **Axes:** The x-axis ranges from 0 to 6, and the y-axis ranges from 0 to 15.
- **Data Points:** There are four black data points scattered across the plot.
- **Line:** A blue line that is steeply ascending, suggesting a strong positive linear relationship between the variables.

### Top Right Plot (Plot b)
- **Axes:** The x-axis ranges from 0 to 6, and the y-axis ranges from 0 to 15.
- **Data Points:** Four black data points are distributed across the plot.
- **Line:** A blue curved line indicating a potential exponential relationship, with the curve rising steeply as x increases.

### Bottom Left Plot (Plot c)
- **Axes:** The x-axis ranges from 0 to 6, and the y-axis ranges from 0 to 15.
- **Data Points:** Four black data points are scattered.
- **Line:** A blue line with a positive slope, indicating a moderate positive linear relationship.

### Bottom Right Plot (Plot d)
- **Axes:** The x-axis ranges from 0 to 6, and the y-axis ranges from 0 to 15.
- **Data Points:** Four black data points are distributed.
- **Line:** A blue line with a gentle slope, suggesting a weak positive linear relationship.

Each plot illustrates different types of relationships (linear and possibly exponential) between the x and y variables, useful for understanding data trends.
Transcribed Image Text:The image contains four scatter plots, each displaying a set of data points and a line representing a trend or fit. Below is a detailed description of each plot: ### Top Left Plot (Plot a) - **Axes:** The x-axis ranges from 0 to 6, and the y-axis ranges from 0 to 15. - **Data Points:** There are four black data points scattered across the plot. - **Line:** A blue line that is steeply ascending, suggesting a strong positive linear relationship between the variables. ### Top Right Plot (Plot b) - **Axes:** The x-axis ranges from 0 to 6, and the y-axis ranges from 0 to 15. - **Data Points:** Four black data points are distributed across the plot. - **Line:** A blue curved line indicating a potential exponential relationship, with the curve rising steeply as x increases. ### Bottom Left Plot (Plot c) - **Axes:** The x-axis ranges from 0 to 6, and the y-axis ranges from 0 to 15. - **Data Points:** Four black data points are scattered. - **Line:** A blue line with a positive slope, indicating a moderate positive linear relationship. ### Bottom Right Plot (Plot d) - **Axes:** The x-axis ranges from 0 to 6, and the y-axis ranges from 0 to 15. - **Data Points:** Four black data points are distributed. - **Line:** A blue line with a gentle slope, suggesting a weak positive linear relationship. Each plot illustrates different types of relationships (linear and possibly exponential) between the x and y variables, useful for understanding data trends.
**Consider the following:**

| \( x \) | 1 | 2 | 3 | 4 |
|-----|---|---|---|---|
| \( y \) | 2 | 6 | 10 | 10 |

(a) **Find an equation of the least-squares line for the data. (Round your numerical values to one decimal place.)**

\( y = \) [ ]  
*Check the degree of your polynomial.*

[Red "X" indicating an error in the polynomial degree]

(b) **Draw a scatter diagram for the data and graph the least-squares line.**

**Graph Analysis:**

- **Scatter Diagram (Left Graph):**
    - Displays a scatter plot with points at coordinates (1, 2), (2, 6), (3, 10), and (4, 10).
    - A blue line represents the least-squares line, which shows a positive linear trend but does not perfectly fit the points.

- **Alternative Graph (Right Graph):**
    - Shows a different fitting curve, possibly a higher-degree polynomial, which better approximates the scatter data.
    - The blue curve passes closer to more points, suggesting a better fit than the linear line for this dataset.
Transcribed Image Text:**Consider the following:** | \( x \) | 1 | 2 | 3 | 4 | |-----|---|---|---|---| | \( y \) | 2 | 6 | 10 | 10 | (a) **Find an equation of the least-squares line for the data. (Round your numerical values to one decimal place.)** \( y = \) [ ] *Check the degree of your polynomial.* [Red "X" indicating an error in the polynomial degree] (b) **Draw a scatter diagram for the data and graph the least-squares line.** **Graph Analysis:** - **Scatter Diagram (Left Graph):** - Displays a scatter plot with points at coordinates (1, 2), (2, 6), (3, 10), and (4, 10). - A blue line represents the least-squares line, which shows a positive linear trend but does not perfectly fit the points. - **Alternative Graph (Right Graph):** - Shows a different fitting curve, possibly a higher-degree polynomial, which better approximates the scatter data. - The blue curve passes closer to more points, suggesting a better fit than the linear line for this dataset.
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