Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to at least two decimal places). ŷ X 4 5 6 7 8 9 10 11 12 y 13.9 17.6 19.8 20.2 24.3 26.1 29.6 3 31.8 35.4 X +

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**Analysis of Annual High Temperatures Using Regression**

In this analysis, we track annual high temperatures over several years at a particular location. Let \( X \) represent the year and \( Y \) the high temperature. Based on the provided data, we aim to calculate the regression line. Ensure each value in your calculations is accurate to at least two decimal places.

### Regression Equation

The regression line can be expressed in the form:

\[
\hat{y} = \text{(intercept)} + (\text{slope})x
\]

### Data Table

Below is the data collected for analysis:

| Year (\( x \)) | High Temperature (\( y \)) |
|----------------|-----------------------------|
| 4              | 13.9                        |
| 5              | 17.6                        |
| 6              | 19.8                        |
| 7              | 20.2                        |
| 8              | 24.3                        |
| 9              | 26.1                        |
| 10             | 29.6                        |
| 11             | 31.8                        |
| 12             | 35.4                        |

### Instructions

- Using the table, perform calculations to determine the slope and intercept for the regression line.
- Apply these values to complete the regression equation provided above.
Transcribed Image Text:**Analysis of Annual High Temperatures Using Regression** In this analysis, we track annual high temperatures over several years at a particular location. Let \( X \) represent the year and \( Y \) the high temperature. Based on the provided data, we aim to calculate the regression line. Ensure each value in your calculations is accurate to at least two decimal places. ### Regression Equation The regression line can be expressed in the form: \[ \hat{y} = \text{(intercept)} + (\text{slope})x \] ### Data Table Below is the data collected for analysis: | Year (\( x \)) | High Temperature (\( y \)) | |----------------|-----------------------------| | 4 | 13.9 | | 5 | 17.6 | | 6 | 19.8 | | 7 | 20.2 | | 8 | 24.3 | | 9 | 26.1 | | 10 | 29.6 | | 11 | 31.8 | | 12 | 35.4 | ### Instructions - Using the table, perform calculations to determine the slope and intercept for the regression line. - Apply these values to complete the regression equation provided above.
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