A study of the amount of rainfall and the quantity of air pollution removed produced the accompanying data. Complete parts (a) and (b) below. Click the icon to view the daily rainfall and air pollution data. (a) Find the equation of the regression line to predict the particulate removed from the amount of daily rainfall. The equation is is y=+x. y = (Round to two decimal places as needed.) Daily Rainfall and Air Pollution Data Daily Rainfall, x Particulate Removed, y (0.01 cm) 4.3 4.5 5.9 5.6 6.1 5.3 3.8 2.1 7.5 Print (µg/m³) 127 121 117 119 114 119 133 142 107 Done X

MATLAB: An Introduction with Applications
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**Study of Rainfall and Air Pollution**

A research project analyzed the relationship between the amount of rainfall and the quantity of air pollution removed, using the data provided below. The goal is to complete parts (a) and (b) of this study.

### Regression Analysis

(a) **Equation of the Regression Line**  
To predict the particulate matter removed based on daily rainfall, determine the equation of the regression line. This equation is represented as \( \hat{y} = \) [calculate and insert coefficients here] \( + \)  [calculate and insert coefficients here] \( x \).  
Note: The coefficients should be rounded to two decimal places.

### Data Table

**Daily Rainfall and Air Pollution Data**

| Daily Rainfall, \( x \) (0.01 cm) | Particulate Removed, \( y \) (\( \mu g / m^3 \)) |
|-----------------------------------|-------------------------------------------------|
| 4.3                               | 127                                             |
| 4.5                               | 121                                             |
| 5.9                               | 117                                             |
| 5.6                               | 119                                             |
| 6.1                               | 114                                             |
| 5.3                               | 119                                             |
| 3.8                               | 133                                             |
| 2.1                               | 142                                             |
| 7.5                               | 107                                             |

This dataset reflects the varying levels of particulate removal corresponding to different daily rainfall amounts measured in tenths of centimeters. 

Note: Use the "Print" option for hard copies of data or calculations as needed.

For further assistance, click "Done" to close the data view or "more help" for additional resources.
Transcribed Image Text:**Study of Rainfall and Air Pollution** A research project analyzed the relationship between the amount of rainfall and the quantity of air pollution removed, using the data provided below. The goal is to complete parts (a) and (b) of this study. ### Regression Analysis (a) **Equation of the Regression Line** To predict the particulate matter removed based on daily rainfall, determine the equation of the regression line. This equation is represented as \( \hat{y} = \) [calculate and insert coefficients here] \( + \) [calculate and insert coefficients here] \( x \). Note: The coefficients should be rounded to two decimal places. ### Data Table **Daily Rainfall and Air Pollution Data** | Daily Rainfall, \( x \) (0.01 cm) | Particulate Removed, \( y \) (\( \mu g / m^3 \)) | |-----------------------------------|-------------------------------------------------| | 4.3 | 127 | | 4.5 | 121 | | 5.9 | 117 | | 5.6 | 119 | | 6.1 | 114 | | 5.3 | 119 | | 3.8 | 133 | | 2.1 | 142 | | 7.5 | 107 | This dataset reflects the varying levels of particulate removal corresponding to different daily rainfall amounts measured in tenths of centimeters. Note: Use the "Print" option for hard copies of data or calculations as needed. For further assistance, click "Done" to close the data view or "more help" for additional resources.
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