An unknown metal has been found and the following experimental results have been tabulated in the table below. The table contains the grams of the unknown metal and the volume in milliliters of water displacement. Find a linear model that expresses mass as a function of the volume. grams Volume in ml 19 258.3 21.5 286.4 24 323 26.5 363.8 29 386.3 31.5 34 436.7 457.5 A) Write the linear regression equation for the data in the chart. Volume= decimal places x+ where x is the grams of the unknown metal. Round your answers to 3 B) If the mass of an unknown metal is 17, using your un-rounded regression equation find its predicted volume. Round your answer to 1 decimal place. mL

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
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Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
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### Exploring Linear Relationships through Water Displacement

**Experimental Objective:**
An unknown metal has been discovered, and the following experimental data have been recorded to understand the relationship between the mass of the metal (in grams) and the volume of water displaced (in milliliters). A linear model is sought to express mass as a function of volume.

**Experimental Data:**
The table below encapsulates the measurements collected during the experiment:

| Grams (g) | Volume (mL) |
|-----------|-------------|
| 19        | 258.3       |
| 21.5      | 286.4       |
| 24        | 323         |
| 26.5      | 363.8       |
| 29        | 386.3       |
| 31.5      | 436.7       |
| 34        | 457.5       |

**Task A: Determining the Linear Regression Equation**
- To find the linear regression equation that best fits the data, denote \( x \) as grams of the unknown metal.
- The volume \( V \) is expressed as: 
  \[
  V = mx + b
  \]
- Here, \( m \) and \( b \) are constants calculated through regression analysis.

**Task B: Predicting Volume for a Given Mass**
- Using the regression equation derived in Task A, a specific application involves predicting the volume displaced when the mass of the unknown metal is 17 grams.
- Ensure to use the unrounded regression coefficients for accuracy and round the final predicted volume to one decimal place.

This analysis helps understand the quantitative relationship between mass and volume displacement in metals and is fundamental in material science and engineering applications.
Transcribed Image Text:### Exploring Linear Relationships through Water Displacement **Experimental Objective:** An unknown metal has been discovered, and the following experimental data have been recorded to understand the relationship between the mass of the metal (in grams) and the volume of water displaced (in milliliters). A linear model is sought to express mass as a function of volume. **Experimental Data:** The table below encapsulates the measurements collected during the experiment: | Grams (g) | Volume (mL) | |-----------|-------------| | 19 | 258.3 | | 21.5 | 286.4 | | 24 | 323 | | 26.5 | 363.8 | | 29 | 386.3 | | 31.5 | 436.7 | | 34 | 457.5 | **Task A: Determining the Linear Regression Equation** - To find the linear regression equation that best fits the data, denote \( x \) as grams of the unknown metal. - The volume \( V \) is expressed as: \[ V = mx + b \] - Here, \( m \) and \( b \) are constants calculated through regression analysis. **Task B: Predicting Volume for a Given Mass** - Using the regression equation derived in Task A, a specific application involves predicting the volume displaced when the mass of the unknown metal is 17 grams. - Ensure to use the unrounded regression coefficients for accuracy and round the final predicted volume to one decimal place. This analysis helps understand the quantitative relationship between mass and volume displacement in metals and is fundamental in material science and engineering applications.
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