First page is done for practice the sec I need help they go hand in hand **Calculator Instructions for Linear Regression**1. **Data Entry:** - Input "Weeks on Market" into L1 and "Selling Price" into L2. - Press [STAT]. - Use arrows to navigate to the CALC menu. - Scroll down to option 4: LinReg (ax+b). - Specify the list containing your data based on your calculator version. - Press the [ENTER] key.2. **Correlation Coefficient:** - Determine the value of the correlation coefficient: _____________3. **Correlation Interpretation:** - Correlation indicates the strength and direction of a relationship. Compare your correlation interpretation with the graph on page 1. Does it align? Provide an explanation.4. **Regression Coefficients:** - Use the calculator output from LinReg (ax+b) to find the slope and y-intercept. - $a = \text{slope} = \_\_\_\_\_\_\_\_\_\_\_\_\_) - \(b = \text{y-intercept} = \_\_\_\_\_\_\_\_\_\_\_\_\_$)5. **Regression Equation:** - Write out the regression equation: __________________________ **Table of Data:**| Weeks on Market | Selling Price (in thousands of $) ||-----------------|-----------------------------------|| 18 | 125 || 48 | 73 || 51 | 61 || 33 | 76.5 || 56 | 53 || 9 | 133 || 25 | 94 || 47 | 90 || 20 | 107 || 27 | 84 || 23 | 54 || 16 | 102 |**Text and Analysis:**- The relationship between weeks on the market and selling price is analyzed using a scatter plot.**Graph Description:**- The scatter plot is suggested to show data points representing the weeks on market (x-axis) and selling price in thousands (y-axis).**Analysis Based on the Graph:**- **Form:** Linear- **Direction:** Negative- **Strength:** Moderate- **Outlier(s):** NoneThe scatter plot analysis indicates a negative linear relationship of moderate strength between the time a property remains on the market and its selling price.

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Description: First page is done for practice the sec I need help they go hand in hand **Calculator Instructions for Linear Regression**1. **Data Entry:** - Input "Weeks on Market" into L1 and "Selling Price" into L2. - Press [STAT]. - Use arrows to navigat

To determine: correlation and regression Given data: Weeks on market (x) Selling price ($) (y)…

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2. What is the value of the correlation coefficient? 3. Correlation is an indicator of strength and direction. Does your interpretation of this correlation agree the answer for strength and direction that you found by reading the graph on page 1? Explain. 4. Using your calculator output from LinReg (ax+b), to get the coefficients for the regression line. a = slope = %3D b=y-intercept = 5. Write out the regression equation:

2. What is the value of the correlation coefficient? 3. Correlation is an indicator of strength and direction. Does your interpretation of this correlation agree the answer for strength and direction that you found by reading the graph on page 1? Explain. 4. Using your calculator output from LinReg (ax+b), to get the coefficients for the regression line. a = slope = %3D b=y-intercept = 5. Write out the regression equation:

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Concept explainers

Fundamentals of Trigonometric Identities

Trigonometric Identities are the equalities that involve trigonometry functions and hold for all the values of variables given in the equation.

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Question

First page is done for practice the sec I need help they go hand in hand

**Calculator Instructions for Linear Regression**

1. **Data Entry:**
- Input "Weeks on Market" into L1 and "Selling Price" into L2.
- Press [STAT].
- Use arrows to navigate to the CALC menu.
- Scroll down to option 4: LinReg (ax+b).
- Specify the list containing your data based on your calculator version.
- Press the [ENTER] key.

2. **Correlation Coefficient:**
- Determine the value of the correlation coefficient: _____________

3. **Correlation Interpretation:**
- Correlation indicates the strength and direction of a relationship. Compare your correlation interpretation with the graph on page 1. Does it align? Provide an explanation.

4. **Regression Coefficients:**
- Use the calculator output from LinReg (ax+b) to find the slope and y-intercept.
- $a = \text{slope} = \_\_\_\_\_\_\_\_\_\_\_\_\_)
- \(b = \text{y-intercept} = \_\_\_\_\_\_\_\_\_\_\_\_\_$)

5. **Regression Equation:**
- Write out the regression equation: __________________________

**Table of Data:**

| Weeks on Market | Selling Price (in thousands of $) |
|-----------------|-----------------------------------|
| 18 | 125 |
| 48 | 73 |
| 51 | 61 |
| 33 | 76.5 |
| 56 | 53 |
| 9 | 133 |
| 25 | 94 |
| 47 | 90 |
| 20 | 107 |
| 27 | 84 |
| 23 | 54 |
| 16 | 102 |

**Text and Analysis:**

- The relationship between weeks on the market and selling price is analyzed using a scatter plot.

**Graph Description:**

- The scatter plot is suggested to show data points representing the weeks on market (x-axis) and selling price in thousands (y-axis).

**Analysis Based on the Graph:**

- **Form:** Linear
- **Direction:** Negative
- **Strength:** Moderate
- **Outlier(s):** None

The scatter plot analysis indicates a negative linear relationship of moderate strength between the time a property remains on the market and its selling price.

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