Based on the data shown below, calculate the regression line (each value to at least two decimal places) y = 17.96 19.25 6 22.14 7 26.73 8 26.42 29.71

Calculus: Early Transcendentals
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Author:James Stewart
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Chapter1: Functions And Models
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Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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**Linear Regression Calculation**

Based on the data shown below, calculate the regression line (each value to at least two decimal places):

\[ y = mx + b \]

| x | y    |
|---|------|
| 4 | 17.96|
| 5 | 19.25|
| 6 | 22.14|
| 7 | 26.73|
| 8 | 26.42|
| 9 | 29.71|

**Instructions:**
1. Calculate the slope (\(m\)) using the formula:
   \[
   m = \frac{n(\Sigma xy) - (\Sigma x)(\Sigma y)}{n(\Sigma x^2) - (\Sigma x)^2}
   \]
   
2. Calculate the y-intercept (\(b\)) using the formula:
   \[
   b = \frac{\Sigma y - m(\Sigma x)}{n}
   \]
   
3. Substitute \(m\) and \(b\) into the linear equation \(y = mx + b\).

*Note: Ensure calculations are accurate to at least two decimal places.*
Transcribed Image Text:**Linear Regression Calculation** Based on the data shown below, calculate the regression line (each value to at least two decimal places): \[ y = mx + b \] | x | y | |---|------| | 4 | 17.96| | 5 | 19.25| | 6 | 22.14| | 7 | 26.73| | 8 | 26.42| | 9 | 29.71| **Instructions:** 1. Calculate the slope (\(m\)) using the formula: \[ m = \frac{n(\Sigma xy) - (\Sigma x)(\Sigma y)}{n(\Sigma x^2) - (\Sigma x)^2} \] 2. Calculate the y-intercept (\(b\)) using the formula: \[ b = \frac{\Sigma y - m(\Sigma x)}{n} \] 3. Substitute \(m\) and \(b\) into the linear equation \(y = mx + b\). *Note: Ensure calculations are accurate to at least two decimal places.*
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