Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. 772 Height, x Stories, y 628 48 518 45 508 (a) x= 502 feet (c) x= 321 feet 496 483 (b) x= 647 feet (d) x= 732 feet 51 43 38 36 Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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**Regression Analysis on Building Heights**

This lesson involves analyzing a dataset to find the regression equation that predicts the number of stories in buildings given their heights. The data provided is as follows:

| Height (x) | Stories (y) |
|------------|-------------|
| 772        | 51          |
| 628        | 48          |
| 518        | 45          |
| 508        | 43          |
| 496        | 38          |
| 483        | 36          |

**Task Instructions**

1. **Find the Regression Equation:**
   - Use the given dataset to calculate the regression line.
   - Calculate the slope and y-intercept.
   - Round the slope to three decimal places and y-intercept to two decimal places.

2. **Scatter Plot & Regression Line:**
   - Construct a scatter plot with the given data points.
   - Draw the regression line on the scatter plot.

3. **Predict Values:**
   - Use the regression equation to predict 'y' (the number of stories) for the given x-values: 
     - (a) x = 502 feet
     - (b) x = 647 feet
     - (c) x = 321 feet
     - (d) x = 732 feet

**Note:** This analysis assumes a significant correlation between the heights of buildings and the number of stories.

**Further Steps:**
- Use tools to help solve and visualize the data.
- Check your answers for further understanding.
Transcribed Image Text:**Regression Analysis on Building Heights** This lesson involves analyzing a dataset to find the regression equation that predicts the number of stories in buildings given their heights. The data provided is as follows: | Height (x) | Stories (y) | |------------|-------------| | 772 | 51 | | 628 | 48 | | 518 | 45 | | 508 | 43 | | 496 | 38 | | 483 | 36 | **Task Instructions** 1. **Find the Regression Equation:** - Use the given dataset to calculate the regression line. - Calculate the slope and y-intercept. - Round the slope to three decimal places and y-intercept to two decimal places. 2. **Scatter Plot & Regression Line:** - Construct a scatter plot with the given data points. - Draw the regression line on the scatter plot. 3. **Predict Values:** - Use the regression equation to predict 'y' (the number of stories) for the given x-values: - (a) x = 502 feet - (b) x = 647 feet - (c) x = 321 feet - (d) x = 732 feet **Note:** This analysis assumes a significant correlation between the heights of buildings and the number of stories. **Further Steps:** - Use tools to help solve and visualize the data. - Check your answers for further understanding.
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