The accompanying table shows the maximum weights (in kilograms) for which one repetition of a half squat can be performed and the times (in seconds) to run a10-meter sprint for 12 international soccer players. Complete parts (a) through (d) below.Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient.(b) Calculate the sample correlation coefficr= -0.956- XData Table(Round to three decimal places as needed(c) Describe the type of correlation, if any,Maximum weight, xTime, yThere is a strong negative linear correla1751.93Interpret the correlation. Choose the corred1701.911452.162051.55O A. As the maximum weight for whichsprint tends to decrease.1452.17O B. Increases in the maximum weight fmeter sprint to decrease.1901.75OC. Based on the correlation, there doeperformed and time to run a 10-me1751.82one repetition of a half squat can be1552.06O D. Based on the correlation, there doeperformed and time to run a 10-me1901.73repetition of a half squat can be1701.8O E. As the maximum weight for which1502.09sprint tends to increase.O F. Increases in the maximum weight f1702.03meter sprint to increase. The accompanying table shows the maximum weights (in kilograms) for which one repetition of a half squat can be performed and the times (in seconds) to run a10-meter sprint for 12 international soccer players. Complete parts (a) through (d) below.Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient.(b) Calculate the sample correlation coefficient r.r= -0.956(Round to three decimal places as needed.)(c) Describe the type of correlation, if any, and interpret the correlation in the context of the data.There is a strong negative linear correlation.Interpret the correlation. Choose the correct answer below.O A. As the maximum weight for which one repetition of a half squat can be performed increases, time to run a 10-meter sprint tends to decrease.O B. Increases in the maximum weight for which one repetition of a half squat can be performed cause time to run a 10-meter sprint to decrease.OC. Based on the correlation, there does not appear to be a linear relationship between the maximum weight for which one repetition of a half squat can beperformed and time to run a 10-meter sprint.O D. Based on the correlation, there does not appear to be any relationship between the maximum weight for which one repetition of a half squat can beperformed and time to run a 10-meter sprint.O E. As the maximum weight for which one repetition of a half squat can be performed increases, time to run a 10-meter sprint tends to increase.O F. Increases in the maximum weight for which one repetition of a half squat can be performed cause time to run a 10-meter sprint to increase.

Answered: Image /qna-images/answer/76c51c50-b670-4f9a-a43b-51de3e4c15e5.jpg

Answered: The accompanying table shows 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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An aerobic exercise instructor remembers the data given in the following table, which shows the recommended maximum exercise heart rates for individuals of the given ages. Age (x years) 20 30 40 50 60 Maximum heart rate 170 168 153 147 136 (y beats per minute) Find the linear correlation coefficient for the data.
The accompanying table shows the earnings per share (in dollars) and the dividends per share (in dollars) for 6 companies in a recent year. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct.graph below. OA. OB. В. Oc. OD. 3- 9- Q Q 2- 6- 6- 3- 3- 04 3. Eamings per share (S) Eamings per share ($) 0. Eamings per share (S) Eamings per share (S) (b) Calculate the sample correlation coefficient r. - X Data Table (Round to three decimal places as needed.) (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. Earnings per share, x Dividends per share, y O 1.36 1 There is V linear correlation. 4.3 0.59 3.56 8.27 1.74 2.47 Interpret the correlation. Choose the correct answer below. 1.19 0.67 1.6 2.82 O A. Increases in companies' eamings per share cause their dividends per share…
The maximum weights (in kilograms) for which one repetition of a half-squat can be performed and the jump heights (in centimeters) for 12 international soccer players are given in the accompanying table. The correlation coefficient, rounded to three decimal places, is r=0.692. At a =0.05, is there enough evidence to conclude that there is a significant linear correlation between the variables? E Click the icon to view the soccer player data. Determine the null and alternative hypotheses. Ho: p o Maximum Weights and Jump Heights Ha: p o Maximum Jump height, y Determine the critical value(s). weight, x 190 60 to = (Round to three decimal places as needed. Use a comma to separate answers as needed.) 185 56 155 55 Determine the standardized test statistic. 180 59 175 55 t= (Round to three decimal places as needed.) 170 65 What is the conclusion? 150 52 160 52 Ho. There V enough evidence at the 5% level of significance to conclude that there is a significant linear correlation between the…
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A university would like to describe the relationship between the GPA and the starting monthly salary of a graduate who earned a business degree from the university. The accompanying table shows the monthly starting salaries for eight graduates of the business school along with their corresponding GPAS. Determine the sample correlation coefficient between the starting salary and the GPA of a business graduate of the university. Click the icon to view the salary and GPA data. Starting salary and GPA data (Round to three decimal places as needed.) Starting Salary GPA Starting Salary GPA 2,500 3.1 3,100 3.7 2,800 3.4 2,900 3.9 2,300 2.6 2,000 2.5 2,600 3.5 2,400 3.2 4o5
The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabulary. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient ... (a) Display the data in a scatter plot. Choose the correct graph below. O A. Oc. OD. 3000- N 2400- E 1800- 1200- 8- 3000- * 2400- 1800- 1200- 600- 6- 4- 2- 600- 0+ 0246 8 Age (years) -> 2 46 1500 3000 Age (years) 1500 Age (years) 3000 Age (years) (b) Calculate the sample correlation coefficient r. r= 976 (Round to three decimal places as needed.) (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. There is a strong positive linear correlation. Interpret the correlation. Choose the correct answer below. O A. As age increases, the number of words in children's vocabulary tends to decrease. Vocabulary size Vocabulary size Vocabulary size
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…
Can you please check my work
Stan measured the circumference of his classmates' heads and compared it with their current grade in Math. The results are in the given table. Head (cm) Grade 55 23 53 92 57 84 56 88 55 97 53 87 54 72 57 64 57 91 Is there a strong correlation in this data set? How do you know? Yes, there is a strong correlation because the slope is 126.5. No, there is NOT a strong correlation because the correlation coefficient is -0.89, which is close to -1.
Based on the scatter plot below on data from Central Harlem, would you estimate the correlation coefficient to be positive, negative, or close to 0? Select the correct correlation and corresponding explanation. Household Income vs. Serious Crime Rate (per 1,000 residents) CentralHarlem Data Scatter Plot: 22- 21- 20- 19- 18- 17 16- 15 32 34 36 38 40 42 Household_Income (thousands) Positive; As the household income increases, the serious crime rate decreases. A. Negative; As the household income increases, the serious crime rate decreases. B. Positive; As the household income increases, the serious crime rate also increases. OC. Negative; As the household income increases, the serious crime rate also increases. D. Close to 0; There is no linear correlation between household income and serious crime rate. E. A Moving to another question will save this response. Question 24 of 25 MacBook Air Serious crime_rate
Below is a subset of the data on quality of marriage and quality of parent-child relationship. Using the data provided below, calculate the correlation between the two variables. You should calculate the correlation "by hand" and show your work that led to the solution (take a picture of your hand-written notes and insert it into this document) Quality of marriage Quality of parent-child relationship 1 5 2

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