### Exploring the Relationship between Car Weight and Gas MileageAn engineer aimed to uncover how the weight of a car impacts its gas mileage. The data provided here represents the weights of various cars and their corresponding gas mileages. Follow through the analysis by completing parts (a) through (d).#### Data Table:| Car | Weight (pounds) | Miles per Gallon ||-----|-----------------|------------------|| A | 3175 | 22 || B | 3590 | 18 || C | 3000 | 22 || D | 3565 | 20 || E | 2580 | 27 |#### Tasks:1. **Determine Variables:** - Identify the explanatory variable and the response variable from the given data. - The explanatory variable is the weight and the response variable is the miles per gallon.2. **Draw a Scatter Diagram:** - Based on the data, choose the correct scatter plot from the given options.#### Scatter Plot Options: - **Option A:** Incorrect - **Option B:** Correct (Scatter plot showing a visual representation with car weights on the x-axis and miles per gallon on the y-axis) - **Option C:** Incorrect - **Option D:** Incorrect3. **Compute the Linear Correlation Coefficient:** - Calculate the linear correlation coefficient (r) between the weight of the car and its miles per gallon, rounding to three decimal places as needed.#### Critical Values for Correlation Coefficient:To determine the significance of the linear correlation coefficient, refer to the critical values for different sample sizes (n).| n | r ||----|-------|| 3 | 0.997 || 4 | 0.950 || 5 | 0.878 || 6 | 0.811 || 7 | 0.754 || 8 | 0.707 || 9 | 0.666 || 10 | 0.632 || 11 | 0.602 || 12 | 0.576 || 13 | 0.553 || 14 | 0.532 || 15 | 0.514 || 16 | 0.497 || 17 |

The data is given as follows:CarsWeight(pound)Miles per GallonA317522B359018C300022D356520E258027

Answered: K represent the weights of various cars…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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g = h =
g and h
The plot below is the boxplot of the birth weights (in ounces) of 250 babies born in a local hospital last year. How many children had birth weights between 80 ounces and 110 ounces? 140 130- 120- 110- 100 90- 80- 70- I I I I I I Birth weight (in ounces) 1 I I I I I I I
Decimals: * the number of decimal digits after the comma/dot. the name of the variable. defines the type of the variable. the width of the column in the Data View window. outline number in Variable View. Label: * defines the type of the variable O text providing more information about the variable. Analyzing information to draw conclusions or answer questions O text providing more information about the variable Staging in breast cancer as 1, 2,3,4, or IV
If you efficiency measured in miles per gallon is a measure often considered by shoppers looking for a new car the scatterplot shows the vehicle way of 15 car models in pounds plotted against our highway fuel efficiency.
K Disk drives have been getting larger. Their capacity is now often given in terabytes (TB) where 1 TB = 1000 gigabytes, or about a trillion bytes. A survey of prices for external disk drives found the data shown to the right. For this data, we want to predict Price from Capacity. Complete parts a through i below. Click the icon to view the disk drive data and summary statistics. Disk Drive Data and Summary Statistics Capacity (in TB) 0.5 1.0 2.0 3.0 4.0 6.0 8.0 12.0 32.0 x = 7.611 SD(x) = 9.85 r = 0.987 --- Print Price (in $) 58.79 75.79 114.00 105.95 146.45 425.49 594.00 1074.00 4464.49 y = 784.329 SD(y) = 1420.27 Done X A. It indicates the price for a hard drive with no capacity. It is meaningless and should not be interpreted. B. It indicates the additional capacity in TB for each additional dollar of price. It is meaningful in that it could be interpreted as the cost of the parts common to all drives.
Home Games Frequency 4 13 5 84 102 7 47 8 9 2
E and f
Letter Definitions/descriptions A A variable which depends on another B A variable that does not depend on another C A set of values that can be counted, e.g., number of people, number of cars, etc. D Values that you can measure, e.g., height, weight, temperature, etc.

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