Used selling price, y (in thousands) (in thousands of dollars) Mileage, x ху 25.8 26.5 683.7 24.2 30.3 733.26 21.0 30.6 642.6 27.4 30.8 843.92 29.5 28.3 834.85 37.6 23.5 883.6 20.8 30.9 642.72 23.9 28.5 681.15 23.5 32.6 766.1 27.0 30.5 823.5 24.2 27.6 667.92 40 27.6 25.7 709.32 Mileage (in thousands) 38.8 22.2 861.36 Figure 1 34.4 25.9 890.96 15.1 34.3 517.93 23.3 30.1 701.33 Send data to calculator What is the slope of the least-squares regression line for these data? Carry your intermediate computations to at least four decimal places and round your answer to at least two decimal places. (If necessary, consult a list of formulas.) Used selling price (in thousands of dollars)
Used selling price, y (in thousands) (in thousands of dollars) Mileage, x ху 25.8 26.5 683.7 24.2 30.3 733.26 21.0 30.6 642.6 27.4 30.8 843.92 29.5 28.3 834.85 37.6 23.5 883.6 20.8 30.9 642.72 23.9 28.5 681.15 23.5 32.6 766.1 27.0 30.5 823.5 24.2 27.6 667.92 40 27.6 25.7 709.32 Mileage (in thousands) 38.8 22.2 861.36 Figure 1 34.4 25.9 890.96 15.1 34.3 517.93 23.3 30.1 701.33 Send data to calculator What is the slope of the least-squares regression line for these data? Carry your intermediate computations to at least four decimal places and round your answer to at least two decimal places. (If necessary, consult a list of formulas.) Used selling price (in thousands of dollars)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought "new" two years ago and each sold "used" within the past month. For each Cadet in the sample, we have listed both the mileage, x (in thousands), that the Cadet had on its odometer at the time it was sold used, and the price, y (in thousands of dollars), at which the Cadet was sold used. These data are shown graphically in the
Transcribed Image Text:### Table of Data
The table below presents the mileage (in thousands), used selling price (in thousands of dollars), and the product of mileage and selling price (\(xy\)) for a set of vehicles.
| Mileage, \(x\) (in thousands) | Used Selling Price, \(y\) (in thousands of dollars) | \(xy\) |
|-------------------------------|----------------------------------------------------|--------|
| 25.8 | 26.5 | 683.7 |
| 24.2 | 30.3 | 733.26 |
| 21.0 | 30.6 | 642.6 |
| 27.4 | 30.8 | 843.92 |
| 29.5 | 28.3 | 834.85 |
| 37.6 | 23.5 | 883.6 |
| 20.8 | 30.9 | 642.72 |
| 23.9 | 28.5 | 681.15 |
| 23.5 | 32.6 | 766.1 |
| 27.0 | 30.5 | 823.5 |
| 24.2 | 27.6 | 667.92 |
| 27.6 | 25.7 | 709.32 |
| 38.8 | 22.2 | 861.36 |
| 34.4 | 25.9 | 890.96 |
| 15.1 | 34.3 | 517.93 |
| 23.3 | 30.1 | 701.33 |
### Scatter Plot
Figure 1 depicts the relationship between the mileage of vehicles and their used selling price. The graph is a scatter plot featuring:
- **X-axis:** Represents the mileage of the vehicles in thousands of miles.
- **Y-axis:** Represents the used selling price in thousands of dollars.
- **Data Points:** Each point on the graph corresponds to a specific vehicle, showing its mileage and selling price. The plot suggests a potential inverse relationship between mileage and selling price.
### Task
Determine the slope of the least-squares regression line for these data. Ensure to carry your intermediate computations to at least
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