22.The arm span and foot length were measured (inUsing the computer output, what is the correlation?centimeters) for each of the 19 students in a statisticsO 0.630class and displayed in the scatterplot. An analysis wascompleted and the computer output is shown.O 0.649O 0.794O 0.806Arm Span vs. Foot Length2927...19155 160 165 170 175 180 185 190 195Mark this and returnSave and ExitNextSubmit65DELLF34101F4F5F6FZF8F9F10F11PriscrF12Insert%23%24&4.5708.ERD F GJ K LFoot Length (cm)立

*answer: The correlation coefficient will be 0.794 Because the points are moderately scattered…

Answered: n span and foot length were measured…

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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In the class poll from the beginning of the year, you were asked what color car you drive. The results are summarized below. aqua 3 beige/tan/gold 39 black 80 blue 44 green 21 orange 3 pink 1 purple 3 red 45 silver 63 white 74 yellow 1 What is the mode for this data set?
Which of the following is the best interpretation of the correlation coefficient?
Assume that you have paired values consisting of heights (in inches) and weights (in Ib) from 40 randomly selected men. The linear correlation coefficient r is 0.563. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Choose the correct answer below. A. The coefficient of determination is 0.317. 68.3% of the variation is explained by the linear correlation, and 31.7% is explained by other factors. O B. The coefficient of determination is 0.683. 31.7% of the variation is explained by the linear correlation, and 68.3% is explained by other factors. O C. The coefficient of determination is 0.683. 68.3% of the variation is explained by the linear correlation, and 31.7% is explained by other factors. O D. The coefficient of determination is 0.317. 31.7% of the variation is explained by the linear correlation, and 68.3% is explained by other factors.
Estimate the most likely degree of correlation for the scatterplot Options: a. -.99 b. 0 c. .70 d. .30
5. For the following scores, Y 5. 747 067 2547 4-
What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 7 women are shown in the table below. Time Pounds 41 32 90 32 31 33 82 131 112 144 104 113 120 142 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: Ho: ? = 0 H₁: ?0 The p-value is: Round to 2 decimal places. (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the use of the regression line is not appropriate. O There is statistically insignificant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone. O There is statistically significant evidence to…
Given the following data, do the tasks stated below. a) Identify the independent variable and the dependent variable. b) Construct a scatter plot. c) Determine the direction of the straight line that the data points seem to follow. d) Determine the strength of the correlation between the two variables.
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Can a low barometer reading be used to predict maximum wind speed of an approaching tropical cyclone? Let x be the lowest pressure (in millibars) as a cyclone approaches, and let y be the maximum wind speed (in miles per hour) of the cyclone. Suppose a random sample of cyclones gave the following information. x 1014 935 980 955 995 y 50 80 60 135 84 Would you say the correlation is low, moderate, or strong? Positive or negative? If necessary, draw a scatter diagram of the given data. Question 1 options: moderate and negative low and negative strong and negative low and positive moderate and positive
pls answer d,e,f and pls do a full solution without using excel. thank u so much
For the data in the table, find the following values. Round each answer to 4 decimals. y 1 10 17 22 10 24 12 31 14 34 17 39 a. The linear correlation coefficient is: b. The coefficient of determination is: 1237 890 NZ
Based on the data below, answer the following question: Draw a scatter diagram that highlights the relationship between Local Tuition and Students per Faculty. The correlation coefficient indicates that the relationship between Local Tuition and Students per Faculty is _______. Select one: a. positively correlated b. not related c. negatively correlated Business School Full-Time Enrollment Students per Faculty Local Tuition ($) Foreign Tuitiion ($) English Test Work Experience Starting Salary ($) 1 Melbourne Business School 200 5 24,420 29,600 No Yes 71,400 2 University of New South Wales (Sydney) 228 4 19,993 32,582 No Yes 65,200 3 Indian Institute of Management (Ahmedabad) 392 5 4,300 4,300 No No 7,100 4 Chinese University of Hong Kong 90 5 11,140 11,140 No No 31,000 5 International University of Japan (Niigata) 126 4 33,060 33,060 Yes No 87,000 6 Asian Institute of Management (Manila) 389 5 7,562 9,000 No Yes 22,800 7 Indian Institute of Management…

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