The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation?| Weight (lb) | 2820 | 3185 | 3825 | 4150 | 4330 | 2440 | 3575 ||-------------|------|------|------|------|------|------|------|| Highway (mpg) | 33 | 32 | 27 | 24 | 23 | 38 | 28 |Which scatterplot below shows the data?- **Option A**- **Option B**- **Option C**- **Option D**(Images of scatterplots A, B, C, and D are displayed, plotting Highway (mpg) against Weight (lb) on the axes.)Is there a linear relationship between weight and highway mileage?- **A.** No, there appears to be a relationship, but it is not linear.- **B.** Yes, as the weight increases the highway mileage increases.- **C.** Yes, as the weight increases the highway mileage decreases.**Explanation of Scatterplots:**- **Scatterplot A:** Shows a random distribution of points without a clear pattern.- **Scatterplot B:** Shows a slight upward trend.- **Scatterplot C:** Shows a clear downward trend, indicating that as weight increases, mileage decreases.- **Scatterplot D:** Shows random points with no discernible trend.The correct choice for the scatterplot that shows the data is **Option C**, and the correct conclusion about the linear relationship is **C**, as the weight increases the highway mileage decreases. **Question:** Is there a linear relationship between weight and highway mileage?**Options:**- **A.** No, there appears to be a relationship, but it is not linear.- **B.** Yes, as the weight increases the highway mileage increases.- **C.** Yes, as the weight increases the highway mileage decreases.- **D.** No, there appears to be no relationship.*Note: There are no graphs or diagrams accompanying this text.*

Scatter plot diagram shows the graphical representation of relationship between two variables using…

The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) Which scatterplot below shows the data? O A. 2820 3185 3825 4150 4330 2440 3575 33 32 27 24 23 38 28 Q 40 1: 20+ 2000 5000 Weight (lb) B. 40 20++ 2000 . T 5000 Weight (lb) Q a Is there a linear relationship between weight and highway mileage? O A. No, there appears to be a relationship, but it is not linear. O B. Yes, as the weight increases the highway mileage increases. O C. Yes, as the weight increases the highway mileage decreases. C O C. 40- 20+ 2000 5000 Weight (lb) Q O D. 40- 20+ 2000 • 5000 Weight (lb) Q Q ✔

The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) Which scatterplot below shows the data? O A. 2820 3185 3825 4150 4330 2440 3575 33 32 27 24 23 38 28 Q 40 1: 20+ 2000 5000 Weight (lb) B. 40 20++ 2000 . T 5000 Weight (lb) Q a Is there a linear relationship between weight and highway mileage? O A. No, there appears to be a relationship, but it is not linear. O B. Yes, as the weight increases the highway mileage increases. O C. Yes, as the weight increases the highway mileage decreases. C O C. 40- 20+ 2000 5000 Weight (lb) Q O D. 40- 20+ 2000 • 5000 Weight (lb) Q Q ✔

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

See similar textbooks

Related questions

Q: Questions 16– 17. The data in the following table show the results of a survey on the number of…

A: We’ll answer the first question since the exact one wasn’t specified. Please submit a new question…

Q: What is the relationship between the $ price of paint and the gallon demand for this paint? A random…

A: Demand(DD) curve is a downward-sloping curve which shows that as price(P) rises, quantity…

Q: A high school has 48 players on the football team. The summary of the players weights is given in…

A: Economics is a branch of social science that describes and analyzes the behaviors and decisions…

Q: c. Find the mode. Select the correct choice below and, if necessary, fill in the answer box to…

A: Mode: it is the value that comes more often in a data set. Midrange: it is the arithmetic mean of…

Q: The variable shown on the vertical axis is __________ (options: thousands of dollars per car,…

A: We’ll answer the first question since the exact one wasn’t specified. Please submit a new question…

Q: The data below gives the petrol consumption figures of cars, with the same engine size when driven…

A: We know that the equation of a straight line is: y = mx + b where m is the slope and b is the…

Q: The results on the left panel is labeled Model A, and the right panel Model B. Which statement is…

A: The regression equation shows the relationship between dependent and independent variables. Simple…

Q: 2. The following data relate to the sales of a product over an eight-month period:Moth January…

A: First, we need to run a regression analysis using the given data. The dependent variable is Sales…

Q: An economic researcher has been asked to determine the relationship between a proposed local sales…

A: The Laffer Curve, given by economist Arthur Laffer, explains the relationship between tax rates and…

Q: a) Figure 1 reports a scatter plot of hhinc (horizontal axis) and size (vertical axis). Do you see…

A: Introduction: There are other categories of profit margins, but this definition concentrates on net…

Q: Suppose you have the following wage and education data for a sample with 3 observations: obs. no. 1…

A: Assumptions: Y : wagesX : education (number of years)

Q: None

A: Based on the regression output, here is a detailed analysis of the results:Coefficients Intercept…

Q: The following data was collected to explore how a student's age and GPA affect the number of parking…

A: Step 1: The independent variables are age (x1), GPA (x2) and the dependent variable is number of…

Q: The last digit of the heights of 67 statistics students were obtained as part of an experiment…

A: Histogram is the graphical representation with bars of two variables. Data are reported when…

Q: Identify the independent variable (IV) and dependent variable (DV) used in the study, and the levels…

A: The issue is that finding out which of the variables is the contributing factor (cR) and which is…

Q: Suppose the relationship between the government's tax revenue (T) and national income (Y) is…

A: Given T=30+0.5Y so here slope is 0.5 we can draw the graph of the equation which are as follow-

Q: Question Each term (3 months) the current group of economics students completed a questionnaire as…

Q: ependent Variable ROG ethod Least Squares ate: 05/3020 Time: 16:55 ample (adjusted) 2010M02 201012…

A: In the given regression results , it gives 4 key values corresponding to each explanatory variables:…

Q: Price P₁ P2 Pa Pa If the short-run price is A) P1; break even B) P2; earn negative economic profit…

A: Perfect competition is the type of competition the market faces where a large number of firms exist…

Q: A commercial airline is analyzing the price scale for round trip flights between New York and…

A: To find the coefficient of correlation between the ticket price and the number of customers…

Q: What do you mean by Scatterplots, the Sample Covariance, and the Sample Correlation?

A: Scatterplot is a display of data type that visualizes the relationship between 2 variables that are…

Q: The table shows data on the expenditures on recorded music and Internet service from 1994 through…

A: A scatter plot, also known as a scatter diagram, is a graphical representation used in statistics…

Question

The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation?

| Weight (lb) | 2820 | 3185 | 3825 | 4150 | 4330 | 2440 | 3575 |
|-------------|------|------|------|------|------|------|------|
| Highway (mpg) | 33 | 32 | 27 | 24 | 23 | 38 | 28 |

Which scatterplot below shows the data?

- **Option A**
- **Option B**
- **Option C**
- **Option D**

(Images of scatterplots A, B, C, and D are displayed, plotting Highway (mpg) against Weight (lb) on the axes.)

Is there a linear relationship between weight and highway mileage?

- **A.** No, there appears to be a relationship, but it is not linear.
- **B.** Yes, as the weight increases the highway mileage increases.
- **C.** Yes, as the weight increases the highway mileage decreases.

**Explanation of Scatterplots:**

- **Scatterplot A:** Shows a random distribution of points without a clear pattern.
- **Scatterplot B:** Shows a slight upward trend.
- **Scatterplot C:** Shows a clear downward trend, indicating that as weight increases, mileage decreases.
- **Scatterplot D:** Shows random points with no discernible trend.

The correct choice for the scatterplot that shows the data is **Option C**, and the correct conclusion about the linear relationship is **C**, as the weight increases the highway mileage decreases.

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step 3

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 3 steps with 1 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, economics and related others by exploring similar questions and additional content below.

Similar questions

The figure below plots a histogram of ages for Olympic athletes. What are ways that this plot could be improved: Mark all that apply. count 20000- 15000- 10000- 5000- 0- 20 20 40 age_of_athlete Do a scatter plot instead of a histogram to more effectively portray the information Change X-axis label Add a title Capitalize Y-axis label 80 60
Which of the following statements does NOT describe opportunity costs? A. The interest income on uninvested funds that you could have earned, but didn't. B. The income a person could have earned at their job instead of waiting in line to purchase the newest electronic device. C. The rent a landlord did NOT earn on an apartment that was empty for the month. D. The value or satisfaction a consumer gets from a product or service.
In a table, report proportion of the students based on mobile phone brands in your sample. Apple 269 Samsung 62 LG 5 Basic mobile phone 2 Other smartphone 32 Do not use mobile phone 0 2. Use an appropriate chart (properly labelled) to display information above, and provide brief interpretation on the chart.
Question 2
Each term (3 months) the current group of economics students completed a questionnaire as to how much they would spend on new purchases compared to how much they would save/pay off bills, if they suddenly and unexpectedly received a check for $1,000. The average MPC is shown in the table below. Month in which student poll was taken Average of students’ responses as MPC March 0.41 June 0.30 September 0.22 December 0.56 What do these MPC’s imply about the students’ thinking over the course of the year? (Enter response here.) What is likely happening in the economy during the same period of time?
This is how I interpret the question units of slope: distance/time?asap
How would you describe a correlation of -1? Group of answer choices There is a perfect linear relationship between x and y. There is a strong positive relationship between x and y. There is no relationship between x and y. There is a weak negative relationship between x and y. thanks
18 Given that the sum of the squared deviations of EDUC is 9025.6 The standard error of the slope coefficient is ________. a 0.1524 b 0.1249 c 0.1024 d 0.0839
According to the following given information how to determine: 12 3 4 5 6 7 8 9 10 11 11 12 13 12 13 14 15 970 1,180 1,239 1,293 1,350 1,398 1,410 1,480 1,492 1,500 1,520 1,592 1,605 1,660 1,685 A) Break Even-point or points? B) How is to construct the relationship between entire variables through the simple drawing for all above figures and highlighting of Break Even point the drawing? C) Justify your final answer for each line of production. Production Times (months) product of (Z unit)
q18-
if the relationship between two variables is linear and the coefficient of determination (R2) has a value near 1, the scatter diagram has what appearance?