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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Positive or negative correlation? the ciameter of an apple and its weight.
For a data set of chest sizes (distance around chest in inches) and weights (pounds) of ten anesthetized bears that were measured, the linear correlation coefficient is r=0.834. Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a inear correlation? Click the icon to view the table of critical values of r. The critical values are (Type integers or decimals. Do not round. Use a comma to separate answers as needed.) Since the correlation coefficient r is there sufficient evidence to support the claim of a linear correlation.
Q9 What is the correlation coefficient for these data? Use either the =correl(array1,array2) formul in excel, or the correlation feature in the Data Analysis ToolPak Add-in for Excel to determine the correlation coefficient. Report your answer to four decimal places. Subject 2nd Language Proficiency Grey Matter Density 1 0.01 -0.07 2 0.44 -0.08 3 0.89 -0.01 4 1.26 -0.009 5 1.69 -0.023 6 1.97 -0.009 7 1.98 -0.036 8 2.24 -0.029 9 2 -0.001 10 2.58 -0.023 11 2.5 -0.006 12 2.75 -0.008 13 3.25 -0.006 14 3.85 0.015 15 3.04 0.018 16 2.55 0.023 17 2.5 0.022 18 3.11 0.036 19 3.2 0.059 20 3.52 0.062
The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. 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. Should we expect that there would be a correlation? Use a significance level of a= 0.01. E Click the icon to view the ages of the award winners. Best Actress (years) Best Actress (years) Best Actress (years) Best Actress years) The linear correlation coefficient is r=| - X Best Actresses and Best Actors (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Best Actress 27 Best Actor 31 30 60 33 34 43 30 65 22 45 51 D Ho: P V 46 64 50 45 34 43 35 37 45 52 40 53 H,: p (Type integers or decimals. Do not round.) Print Done The test statistic is t= (Round to two decimal places as needed.) The P-value is (Round to three…
The accompanying table shows eleven altitudes (in thousands of feet) and the speeds of sound (in feet per second) at these altitudes. 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. (SA) punos jo paads 55- 940 1140 Altitude (1000's ft) There is Q Q OB. (SA) punos jo paads 1140 940+ a strong positive linear correlation. Interpret the correlation. Choose the correct answer below. 55 -5 Altitude (1000's ft) Q Q (b) Calculate the sample correlation coefficient r. r= 0.982 (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. G O C. 1140 41313 940+ -5 55 Altitude (1000's ft) O A. Based on the correlation, there does not appear to be a linear relationship between altitude and speed of sound. OB. Higher altitudes…
Find R, R^2 and P Value
I got the answer 9.98 but it was incorrect. Rounding it to two decimal places gave me 1.00, but that too was incorrect. Please help?
Calculate the sample correlation coefficient r=Describe the type of correlation choose from the drop down selections interpret the correlation choose the correct answer from pic 2
If the tail beat frequency is measured in number of beats per minute rather than in number of beats per second (hertz), what will be the correlation between swimming speed and tail beat frequency?
Solve for the value of the correlation coefficient write your solution clearly. thanks
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axis are the same for each scatter diagram. (a) r= 0.946, (b) r= 0.523, (c) r = 1 (a) Scatter diagram (b) Scatter diagram Explanatory (c) Scatter diagram ........ Explanatory Explanatory Click to select your answer(s) and then click Check Answer. All parts showing Clear All e Type here to search DELL
I need help finding the test statistic and the P-value

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