Use the given data to tind the equation of the regression lune. %3D 4 6. 13 8 12 13 7.49 6.67 13.18/6.837.61 8.83 5.16 5.898.44/6.5|| Y 5.93 Find the equation of the regreasion line

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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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**Finding the Equation of the Regression Line**

Use the given data to find the equation of the regression line.

| x | 11 | 9  | 13 | 8   | 12 | 13 | 4   | 7  | 11 | 6   |
|---|----|----|----|-----|----|----|-----|----|----|-----|
| y | 7.49 | 6.67 | 13.18 | 6.83 | 7.61 | 8.83 | 5.16 | 5.89 | 8.44 | 6.51 |

**Data Point to Predict:**

- x = 6
- y = 5.93

**Find the equation of the regression line:**

\[
\hat{y} = \square + \square x
\]

**Graph Details:**

The table shows paired values of `x` and `y`, used to derive a regression line equation. The aim is to establish a predictive relationship between variable `x` and outcome `y`. You need to find the slope and intercept to complete the equation: \(\hat{y} = \text{slope} \times x + \text{intercept}\).

Use these values to calculate and interpret the relationship and make predictions.
Transcribed Image Text:**Finding the Equation of the Regression Line** Use the given data to find the equation of the regression line. | x | 11 | 9 | 13 | 8 | 12 | 13 | 4 | 7 | 11 | 6 | |---|----|----|----|-----|----|----|-----|----|----|-----| | y | 7.49 | 6.67 | 13.18 | 6.83 | 7.61 | 8.83 | 5.16 | 5.89 | 8.44 | 6.51 | **Data Point to Predict:** - x = 6 - y = 5.93 **Find the equation of the regression line:** \[ \hat{y} = \square + \square x \] **Graph Details:** The table shows paired values of `x` and `y`, used to derive a regression line equation. The aim is to establish a predictive relationship between variable `x` and outcome `y`. You need to find the slope and intercept to complete the equation: \(\hat{y} = \text{slope} \times x + \text{intercept}\). Use these values to calculate and interpret the relationship and make predictions.
Expert Solution
Step 1

From the given information,

 

X

11

9

13

8

12

13

4

7

11

6

6

Y

7.49

6.67

13.18

6.83

7.61

8.83

5.16

5.89

8.44

6.51

5.93

The regression equation is obtained by using Excel.

Procedure:

  1. Enter the data in Excel.
  2. Click on Data > Data analysis > Regression.
  3. Enter the Y column range in input Y range ($B$1:$B$12).
  4. Enter the X column range in input X range ($A$1:$A$12).
  5. Check on labels.
  6. Click on ok.
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