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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please solve A, B, and D ch 12
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
Answer this ASAP Determine the value of y for x = 4.7, given the following data:
The data below represent the number of days absent, x, and the final grade, y, for a sample of college students at a large university. Complete parts (a) through (e) below. У, No. of absences, x 1 2 4 6. 7 8 9. Final grade, y 88.8 85.9 83.0 80.6 77.7 73.3 63.5 68.3 65.4 62.6 (Round to three decimal places as needed.) A. For every unit change in the final grade, the number of days absent falls by days, on average. B. For every day absent, the final grade falls by on average. C. For zero days absent, the final score is predicted to be 88.778 . D. For a final score of zero, the number of days absent is predicted to be days. E. It is not appropriate to interpret the y-intercept. (c) Predict the final grade for a student who misses five class periods and compute the residual. Is the observed final grade above or below average for this number of absences? The predicted final grade is |. This observation has a residual of, which indicates that the final grade is average. (Round to one decimal…
The variable week# is at what level of measurement
Based on the given scatter diagram, choose the correct statement. a. It is a positive correlation. The more time an individual spends running, the higher their body fat tends to be. b. It is a positive correlation. The more time an individual spends running, the lower their body fat tends to be. c. It is a negative correlation. The more time an individual spends running, the higher their body fat tends to be. d. It is a no correlation. The amount of time an individual spends running has no correlation with his/her body fat tends to be. e. It is a negative correlation. The more time an individual spends running, the lower their body fat tends to be.
Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…
What is the answer to this problem?
Compute the coefficient of determination. Round the answer to at least three decimal places. The coefficient of determination is…
210 people are asked how many siblings they have? # of Siblings Frequency Relative Frequency Cumulative Frequency 0 0.1714 40 1 2 39 3 52 4 43 a. Complete the table (Use 4 decimal places when applicable) b. What percent of the people have exactly two siblings? 36 0.1857 0.2476 0.2048 115 167 210
YouTube G Create EStream You... e Left:1:15:25 Tahani Alala: Attempt 1 In a Pyramid lake, people go to catch really large cutthroat trout. The following table compares the data number of hours per fish caught fishing from the shore and number of hours per fish caught using a boat. The following data are paired by month from October through April. Oct. Nov. Dec. Jan. Feb. March April B: Shore 1.6 1.8 2.0 3.2 3.9 3.6 3.3 A: Boat 1.5 1.4 1.6 2.2 3.3 3.0 3.8 d3DB- A 0.1 0.4 0.4 1.0 0.6 -0.5 Use a 1% level of significance to test if there is a difference in population mean hours per fish caught using a boat compared with fishing from the shore. Given that d = 0.37 and Sd = 0.47. Solution: Step 1: Stating hypothesis: Null Hypothesis; = Pl : 0H 五 ily f7 f8 f12 61 DDI |44 * 6. 3. %3D 8. 1/2 1/4 3/4 >>
Use the information attached to answer Question 2 and Question 3. The cumulative frequency below displays the amount of time (in minutes) taken to travel to work by employees at a shoefactory.Find the median amount of time (in minutes) for the above data.A. 40B. 45C. 50D. 55 Question 3 Find the interquartile range for the above data.A. 7B. 6.5 C. 10D. 13.5

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