A scatter diagram of the data in the table above is shown in the figure below. The scatter diagram shows a strong linear correlation. (You didn't expect a perfect linear correlation, did you? After all, we are working with camels, dogs, and adult men.) Although we hav considered only three species, Alexander and Jayes were able to show a strong linear correlation for several species. 1- 1 3 4 5 Relative stride length • adult men 1 dogs A camels Finally it is time to estimate the speed of a dinosaur. Consider a large theropod with a leg length of 2.5 m. If the theropod's fossilized footprints show a stride length of 5 m, then its relative stride length is = 2. The least-squares regression line in the figure abe 2.5 m shows that a relative stride length of 2 has a dimensionless speed of about 0.8. If we use 2.5 m for the leg length and 0.8 for dimensionless speed and solve equation (II) for speed, we get Speed- (dimensionless speed) v leg length x g = (0.8)V2,5 x 9,8 * 4.0 m/s. Watch the video below then answer the question.

A scatter diagram of the data in the table above is shown in the figure below. The scatter diagram shows a strong linear correlation. (You didn't expect a perfect linear correlation, did you? After all, we are working with camels, dogs, and adult men.) Although we hav considered only three species, Alexander and Jayes were able to show a strong linear correlation for several species. 1- 1 3 4 5 Relative stride length • adult men 1 dogs A camels Finally it is time to estimate the speed of a dinosaur. Consider a large theropod with a leg length of 2.5 m. If the theropod's fossilized footprints show a stride length of 5 m, then its relative stride length is = 2. The least-squares regression line in the figure abe 2.5 m shows that a relative stride length of 2 has a dimensionless speed of about 0.8. If we use 2.5 m for the leg length and 0.8 for dimensionless speed and solve equation (II) for speed, we get Speed- (dimensionless speed) v leg length x g = (0.8)V2,5 x 9,8 * 4.0 m/s. Watch the video below then answer the question.

Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

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A survey was taken in 2018 that asked people about their saving habits. Researchers wanted to know if people who saved more also spent less. The scatterplot below shows their results when comparing two variables: the amount people reported that they put into savings each month, and the amount they reported that they spent on clothes. The researchers found the correlation coefficient for this data to be -0.239. Which of the following is true about these variables? a. There is no relationship between savings and money spent on clothes each month.b. There is a weak, positive linear relationship between savings and money spent on clothes each month.c. There is a perfect, negative linear relationship between savings and money spent on clothes each month.d. There is a weak, negative linear relationship between savings and money spent on clothes each month.
If the linear association between two numerical variables is studied and the correlation coefficient is 0.32, it can be concluded that:a. The relationship between the variables is inverse and weak. b. The percentage of variability observed in the data that is explained by the error is 89.76%. c. The percentage of observed variability in the data that is explained by the model is 32%. d. None is correct Please explain clearly, thank you
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Chapter 4 Homework Score: 3/14 3/14 answered Question 1 Based on the data shown below, calculate the correlation coefficient (to three decimal places) y 4 27.54 26.8 27.96 29.02 31.68 9. 34.24 Question Help: MMessage instructor Submit Question 5678
Bt.20.
Two separate tests are designed to measure a student's ability to solve problems. Several students are randomly selected to take both tests and the results are shown below. Test A (x) 43 65 73 34 99 78 65 Test B (y) 39 60 62 20 85 70 54 1. Calculate r, the linear correlation coefficient. Identify the values for each part below. Part a. The value of n Part b. The sum of the x-values Part c. The sum of the y-values Part d. The sum of the x-squared values Part e. The sum of the y-squared values Part f. The sum of the (xy) values Part g. The final value of r rounded top three decimal places
The results from a research study indicate that adolescents who watch more violent content on television also tend to engage in more violent behavior than their peers. The correlation between amount of TV violent content and amount of violent behavior is an example of Question 25 options: a positive correlation a negative correlation a correlation near zero a correlation near one
31
After gathering data about the number of starfish and measuring the pollution in areas of the ocean you find a negative linear correlation between pollution levels and number of starfish. What can you conclude based on this information? a. There is a confounding variable that is affecting both pollution and starfish. b. As pollution rises the number of starfish falls c. That pollution is causing starfish to die, leading to the negative correlation d. That pollution is supporting starfish, leading to the negative correlation
You have data on the incidence of three types of malaria (A, B, and C) in three tropical regions (Africa, Asia, South America) . Is there a relationship between location and type of malaria? What is the appropriate test to answer this question? A Paired Samples t test B Correlation C Chi Square test D Independent Samples t test
Section 10.1 Question #9 Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of α=0.05. Shoe Print (cm) 30.2 30.2 31.1 31.4 27.3 Foot Length (cm) 25.2 25.2 27.7 26.6 25.6 Height (cm) 181.7 181.3 191.7 172.2 172.1 The linear correlation coefficient is r= __________. (Round to three decimal places as needed.) The test statistic is t= _________. (Round to two decimal places as needed.) The P-value is _________. (Round…
Dr. Erie, a researcher at the Moore County Botany Institute, reported the following correlations. The correlation between pH level of soil and tomato weight is r₁ = -0.4. The correlation between hours of sunlight and tomato weight is r2 = 0.1. According to this information, which of the following statements are true? Select all that apply. Larger tomatoes result from more daily hours of sunlight. Larger tomatoes result from higher soil pH level. Tomato size is related more strongly to hours of sunlight than to soil pH level. None of these are true.