(a) For this data, find the value of the Pearson's product-moment correlation coefficient, r.Eduardo looked in a sports science text book. He found that the following information about rwas appropriate for athletic performance.Value of Iri0≤ırı<0.40.4≤ir <0.80.8 ≤r ≤ 1Description of the correlationweakmoderatestrong(b) Comment on your answer to part (a), using the information that Eduardo found.(c)Write down the equation of the regression line of t on x, in the form t = ax + b.A 57-year-old male also ran in the 5000 m race.(d)Use the equation of the regression line to estimate the time he took to complete the5000 m race. Eduardo believes that there is a linear relationship between the age of a male runner and thetime it takes them to run 5000 metres.To test this, he recorded the age, x years, and the time, t minutes, for eight males in a single5000 m race. His results are presented in the following table and scatter diagram.x, yearst, minutesTime1829.44540353025024 2829.21031.1 33.6 32.2F8L.20•36 40 46 52 6233.135.2 40.430·40Age●A50●6070X

Data is given for Eduardo belief : He take data of 8 males n= 8 Eduardo believes that x(years)…

Answered: (a) For this data, find the value of…

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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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.
Find the Karl’s Pearson coefficient of correlation between age and playing habit of the people from the following information. Also mention what does your calculated ‘r’ indicate?
The following table shows the values of the age and the job satisfaction of ice cream shop employees Employee Age Job Satisfaction16 918 920 722 824 426 528 626 524 722 8 a. Compute the correlation coefficient for this data.b. What is the coefficient of determination? c. Is there a significant relationship between job satisfaction and employees age? Specify the df, the critical r value, and state your decision. In other words, you do not need a full APA styled summary.
For a data set of chest sizes (distance around chest in inches) and weights (pounds) of eight anesthetized bears that were measured, the linear correlation coefficient is r = 0.996. Use the table available below to find the critical values of Ⓡ r. Number of Pairs of Data n 4 5 6 7 8 9 10 11 12 OA.-0.707 OB. +0.707 OC.-0.707, +0.707 OD. +0.754 Critical Value of r 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576
Would A be the answer?
The table below lists the mean systolic blood pressure during surgery (mmHg) along with blood loss (ml). Use this table to answer the next three (3) questions . BP Blood Loss 95274 90 170 Strength of Relationship 125 352 105317 weak moderate 110 171 105 150 90 245 90 120 none none 1/4 * 1/2; 3/4 13. Does the correlation coefficient indicate a strong linear correlation ? ( A) Yes ( B) No 14. Approximately what blood loss would you predict for a blood pressure reading of 140 ( A) 319 (B) 363 ( C) 401 ( D) 635 15. Do these data provide sufficient evidence , at the 0.05 level of significance , to indicate that the two variables are indeed correlated ?
An ecologist is interested in exploring the relationship between pollination rate and the number of bees present at apple orchards. The relationship is: (Pollination rate) = 372.6 + 13.5 x (bees) with r = 0.80. The best interpretation of the correlation coefficient is: (pick one) 1. 64% of the variability in pollination rate observed at apple orchards is explained by the relationship with the number of bees 2. the correlation between pollination rate and number of bees is 0.64 3. 80% of the variability in number of bees at apple orchards is explained by the relationship with the pollination rate 4. the correlation between pollination rate and number of bees is 0.80
Please answer all sections
The correlation between height and weight of a sample of 100 individuals is calculated to be 0.8 using Pearson's r. What can we conclude about the relationship between height and weight in the population from which the sample was taken?
As temperature decreases, rates of crime also seem to decrease. Which of the following Pearsons R values represents the strongest possible correlation between these two variables?" -0.5 -1 0.5 1
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

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