a. Choose the correct graph below.The following table compares fuel economy as calculated by car owners and bygovernment standards.O A.OB.CarOwner (x) Government (y) OAy60-60-A.21.925.036.4B29.529.726.9D24.228.234.416.029.815.3E36.7606014.424.315.532.6GOc.47.0Ay60-60-a. Construct a scatter diagram to investigate the relationship between ownercalculated mileage and government calculated mileage.b. Is there a relationship between the variables? Is it positive or negative?6060b. Is there a relationship between the variables? Is it positive or negative?O The relationship is negative because owner mileage is usuallybelow the government mileage.The relationship is positive because as one variable increases, theother variable also tends to increase.The relationship is positive because owner mileage is almostexactly equal to government mileage.O There is no relationship between the two variables.O O

Answered: Image /qna-images/answer/fea51e68-ec1d-47b7-b350-dd6fa0c5cf14.jpg

Answered: Choose the correct graph below. The…

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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Statistics Question
1. A researcher desires to know whether the typing speed of a secretary (in words per minute) is related to the time (in hours) that is takes the secretary to learn to use a new word processing program. The data are shown below. f. Calculate the coefficient of determination and explain this value.
Identify the reasons the following statements are incorrect. Not all reasons will be used. Researchers found that the correlation between the number of pages in novels and Correlation should depend on units. the number of hours it takes to read them is r = 0.71 pages. The correlation between the advertised selling price of cars and the makes of the Both variables should be numerical. cars is r = -0.69. The amount of ice cream in a sundae and the total grams of fat are highly Correlation should depend on units. correlated (r = 1.15). The correlation between total daily snowfall in inches and daily low temperatures Both variables should be numerical. in degrees Fahrenheit differs from the correlation between daily snowfall in inches and daily low temperatures in degrees Celsius. Answer Bank One of the variables should be categorical. Correlation should not depend on units. Correlation should depend on units. Correlation should be greater than 0. Both variables should be numerical.…
The boxplot below represents annual salaries of attorneys in thousands of dollars in Los Angeles. About what percentage of the attorneys have salaries between $219,000 and $326,000? A. 90% B. 60% C. 15% D. 50% E. None of the Above 160 100 200 220 240 260 200 300 320 340 360 300
In order to advise students properly, a college advisor is interested in the relationship between a student's GPA and the number of hours the student an average weck. The data are shown in the table. Study Time (in hours) 33 Student GPA 3.2 19 16 2.4 31 3.1 5. 24 2.7 28 2.9 7 1.7 34 3.3 14 2.2 10 35 3.4 11 1.8 Part 1 of 5 (a) Let I represent study time and let y nepresent GPA. Graph the points. Grade Point Average vs. Weekly Study Time Weckly Study Time (hours) Part 2 of 5 (b) Does there appear to be a linear trend? Yes Part: 2/5 Part 3 of 5 (c) use the data points (16, 2.4) and (34, 3 3) to find an eguation of the line through these points. Express numbers as decimas or integers. Write answer in slope-intercept form (y = MI+ b). The equation is GPA
Select the most appropriate response. If the correlation between a person’s age and annual income is 0.60, then the coefficient of determination tells us that: 36% of the variation in a person’s annual income can be explained by the predictor variable age. 36% of a person’s annual income can be explained by their age 60% of the variation in a person’s annual income can be explained by the predictor variable age 60% of a person’s annual income can be explained by their age
The table below shows the relationship between the altitude of the atmosphere and corresponding temperature. Altitude (in feet) 25,000 20,000 15,580 12,902 Temperature (in degree Celsius) 10 16 25 30 What inference can be made from the above data? A.The temperature of the atmosphere decreases with the increase in the altitude. B.The temperature of the atmosphere decreases with the decrease in the altitude. C.The temperature of the atmosphere increases with the increase in the altitude. D.ANo inference can be made from the given data.
With aging, body fat increases and muscle mass declines. The line graphs show the percent body fat in adult females and males as they age from 25 to 75 years. Use this information to complete parts (a) through (c) below. a. Find an estimate for the percent body fat in 45-year-old females. % (Type a whole number.) Percent Body Fat 40 36- 32- 28- 24 20+ 15 Percent Body Fat in Adults 25 35 45 Age Females Males 55 65 75
Following are some of the variables from a survey conducted by the U.S. Census Bureau. Which of the variables is quantitative? all of the above the number of people living in a household O the total household gross income O the ages of household residents.

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