Make a scatterplot and find the correlation coefficient. Do you think all five specimens come from the same species? Archaeopteryx is an extinct beast having feathers like a bird but teeth and a long bony tail like a reptile. Only six fossil specimens are known. Because thesespecimens differ greatly in size, some scientists think they are different species rather than individuals from the same species. If the specimens belong to thesame species and differ in size because some are younger than others, there should be a positive linear relationship between the lengths of a pair of bones fromall individuals. An outlier would suggest different species. Here are data on the lengths in centimeters of the femur and the humorous for the specimens thatpreserve both bones:Femur38Humorous 41 635659 64707472 84Make a scatterplot and find the correlation coefficient. Do you think all five specimens come from the same species?

Given that, Dependent variable (y) = Femur Independent variable (x) = Humorous Sample size = n1 = n2…

Answered: Make a scatterplot and find 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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You might expect the correlation between the horsepower of new cars and their gas mileages in miles per gallon to be: Group of answer choices A substantial negative correlation A substantial positive correlation A small correlation
C learn.vccs.edu/courses/474823/assignments/9794759 Identify if the following correlation. Describe if it is strong, weak, or no correlation. Then determine if the relationship is positive, negative, or neither. Explain your answer. O ● OHO ● ● ● ● O acer Provide your answer in the box below.
Suppose a researcher is interested in examining the relationship between a person 's age and whether he or she likes the taste of cilantro. She collects a sample of n- 10 people and asks them whether they like the taste of cilantro. The following table summarizes the results. Does not like Cilantro Does like Cilantro 18 years old 2 18+ years old 3 The researcher wants to calculate the correlation between a person 's age and whether he or she likes the taste of cilantro. To do so, you (the researcher) must first create a table of the data by converting each variable to a numerical value. Assign a 0 to "< 18 years old" and 1 to "18+ years old." Then assign O to "does not like the taste of cilantro" and a 1 to " likes the taste of cilantro." Complete the top two rows of the your (the researcher's) data. Age (0 is <18; 1 is 18+) Likes the taste of Cilantro (0 is no; 1 is yes) a) ob) 1 a) Ob) 1 a) ob) 1 a) Ob) 1 1 1 1 1 1 1 1 The phi-coefficient is a) -0.09 b) -0.16 c) -0.20 d) 0.80
Please explain
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? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
Please use the values from the given r values and assign the accurate value to the plots A,B,C, or D.
PLEASE SHOW AN EXPLANATION FOR EACH PART
A researcher measures GPA and height for a group of high school students. What kind of correlation is likely to be obtained for these two variables?
Which r is the strongest correlation? O -0.8 O-0.18 O-0.09 O 0.711 O 0.4
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.567. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Question content area bottom Part 1 Choose the correct answer below. A. The coefficient of determination is 0.321. 32.1% of the variation is explained by the linear correlation, and 67.9% is explained by other factors. B. The coefficient of determination is 0.679. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. C. The coefficient of determination is 0.321. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. D. The coefficient of determination is 0.679. 32.1% of the variation is explained by the linear correlation, and 67.9% is…
Two statistically independent random have variances of Variables X and 0² and new ran- dom T variables Y 54 are + = 25. TWO defined by U = 3x + 4 Y V = 5X-2Y
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.594. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Choose the correct answer below. O A. The coefficient of determination is 0.353. 64.7% of the variation is explained by the linear correlation, and 35.3% is explained by other factors. O B. The coefficient of determination is 0.647. 35.3% of the variation is explained by the linear correlation, and 64.7% is explained by other factors. O C. The coefficient of determination is 0.647. 64.7% of the variation is explained by the linear correlation, and 35.3% is explained by other factors. O D. The coefficient of determination is 0.353. 35.3% of the variation is explained by the linear correlation, and 64.7% is explained by other factors.

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