1 2 3 4 5 6. 1707 2879 7870 13674 y 971 4713 Use linear regression to find the equation for the linear function that best fits this data. Round parameters to two decimal places. y =

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### Linear Regression Task

#### Data Table

The table below lists pairs of \( x \) and \( y \) values:

| \( x \) | \( 1 \) | \( 2 \) | \( 3 \) | \( 4 \) | \( 5 \) | \( 6 \) |
|---------|---------|---------|---------|---------|---------|---------|
| \( y \) | \( 971 \) | \( 1707 \) | \( 2879 \) | \( 4713 \) | \( 7870 \) | \( 13674 \) |

#### Task

Use linear regression to determine the equation of the linear function that best fits this data. Round the parameters to two decimal places.

The equation will be in the form:

\[ y = mx + b \]

Please enter your values for \( m \) (slope) and \( b \) (y-intercept) in the form provided below.

\[ y = \] [Input Box]

This exercise aims to enhance understanding of linear regression and interpreting data through mathematical modeling.
Transcribed Image Text:### Linear Regression Task #### Data Table The table below lists pairs of \( x \) and \( y \) values: | \( x \) | \( 1 \) | \( 2 \) | \( 3 \) | \( 4 \) | \( 5 \) | \( 6 \) | |---------|---------|---------|---------|---------|---------|---------| | \( y \) | \( 971 \) | \( 1707 \) | \( 2879 \) | \( 4713 \) | \( 7870 \) | \( 13674 \) | #### Task Use linear regression to determine the equation of the linear function that best fits this data. Round the parameters to two decimal places. The equation will be in the form: \[ y = mx + b \] Please enter your values for \( m \) (slope) and \( b \) (y-intercept) in the form provided below. \[ y = \] [Input Box] This exercise aims to enhance understanding of linear regression and interpreting data through mathematical modeling.
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