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 +
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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Faddcfefe-79de-4bfb-b00e-9692daf48932%2F52dba5e8-0fce-4d80-b1df-ad80269b2226%2Fvmylaev_processed.jpeg&w=3840&q=75)
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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