The following table shows the Pearson correlations between four methods of measuring body composition, of which theUnderwater Weighing is considered to be the gold standard (criterion) method in estimating percent body fat. Which of the"field methods" has an indirect relationship with underwater weighing?Body Mass IndexSum of 3 skinfoldsTotal Treadmill minutesPercent fat from.underwater weighingOBMISum of 3 skinfolds.O Total treadmill timePearson CorrelationSig: (2-tailed)NO None of the above.Pearson Correlation.Sig. (2-tailed)NPearson CorrelationSig. (2-tailed)N**Correlation is significant at the 0.01 level (2-tailed).Pearson Correlation.Sig. (2-tailed)NCorrelationsBody MassIndex1600.608.000381-.336000559513000600Sum of 3skinfolds608.0003811381-558.000346811).000381TotalTreadmillminutes-.336.000559-558.0003461559-535.000559Percent fatfromunderwaterweighing513000600811.000381-5350005591600

The question is about correlation.Correlation :1 ) It measures the relationship between two…

Answered: The following table shows the Pearson…

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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Table 1: Bivariate Correlations for the following variables: income, number of siblings, education, age, white, black and gender (1)rincome 1.00 (2)sibs (3)edu (4)age (5)white (6)black (1) (8)male Mean -0.06 0.30 0.16 0.12 (7)female -0.21 -0.12 0.21 13.91 Standard Dev. 5.63 (2) 1.00 -0.21 0.09 -0.27 0.27 0.02 -0.02 3.505 2.927 (3) 1.00 0.05 0.12 -0.12 0.02 -0.02 13.39 2.93 (4) 1.00 0.12 -0.12 0.03 47.12 (5) -0.03 -0.07 17.50 1.00 -1.00 0.07 .84 .37 (6) 1.00 .07 -.07 .16 .37 (7) 1.00 -1.00 i. There is a negative correlation between family size and income. ii. Income is positively correlated with education. iii. Income is positively correlated with age. iv. Income is positively correlated with white race. v. The black race is negatively correlated with income. vi. Income is negatively correlated with females. vii. Income is positively correlated with males. .56 .50 (8) 1.00 .44 .50 Note: rincome is respondent's income, sibs is respondent's number of siblings, age represents respondent's…
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. LOADING... Click here to view the table of critical values for the Pearson correlation coefficient. LOADING... (a) Display the data in a scatter plot. Choose the correct graph below. A. -5559401140Altitude (1000's ft)Speed of sound (ft/s) A scatter plot has a horizontal axis labeled Altitude (thousands of feet) from negative 5 to 55 in increments of 5 and a vertical axis labeled Speed of sound (feet per second) from 940 to 1140 in increments of 20. The following 11 points are plotted: (0, 967); (5, 967); (10, 967); (15, 969); (20, 996); (25, 1015); (30, 1037); (35, 1056); (40, 1078); (45, 1097); (50, 1116). From left to right, the first 3 points follow the pattern of a horizontal line and the next 8 points tightly follow the…
Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using α = 0.05. Question Viewer tevidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? Overhead Width Weight Click here to view a table of critical values for the correlation coefficient. A. Aweight (kg) 300- Construct a scatterplot. Choose the correct graph below. 100- 7 ●●● ● 7.2 117 width (cm) 7.8 205 10 B. 9.8 246 Aweight (kg) 300- 1007 7 The linear correlation coefficient is r= .825. (Round to three decimal places as needed.) ● width (cm) 9.3 199 10 8.8 201 300- le 100+ 7 weight (kg) 8.4 194 ♥ ● width (cm) 10 The critical values are r= (Round to three decimal places as needed. Use a comma to separate answers as needed.) Aweight (kg) 300- 100+ 7 width (cm) 10
Measuring Seals from PhotosListed below are the overhead widths (in cm) of seals measured from photographs and the weights of the seals (in kg). The data are based on “Mass Estimation of Weddell Seals Using Techniques of Photogrammetry,” by R. Garrott of Montana State University. The purpose of the study was to determine if weights of seals could be determined from overhead photographs. Is there sufficient evidence to conclude that there is a correlation between overhead widths of seals from photographs and the weights of the seals?
What is the Small Values of Squared Correlation Coefficient?
Report the correlations between the three independent variables (age, educ and Protestant) and your dependent variable (childs). Which category had the correlation that was the weakest?
estion 3 of 38 university and gathers their freshman year GPA data and the high school SAI score reported on each of their college applications. He produces a scatterplot with SAT scores on the horizontal axis and GPA on the vertical axis. The data has a linear correlation coefficient of 0.506701. Additional sample statistics are summarized in the table below. Variable Sample Sample standard Variable description mean deviation high school SAT score x 1504.291401 Sx = 105.782904 %3D y freshman year GPA y = 3.240805 Sy = 0.441205 r = 0.506701 slope 0.002113 Determine the y-intercept, a, of the least-squares regression line for this data. Give your answer precise to at least four decimal places. tems of use Thelp about us குசங் careers 2:30 PM 10/24/20 o耳国 @ hp
The following is a table of the average monthly temperature of Raleigh, North Carolina and a scatterplot of the data, making month into a quantitative variable by designating Jan=1, Feb=2, . . ., Dec=12. calculate the correlation coefficient
If interested in the relationship between height (in inches) and weight (in pounds), which test would be most appropriate? Spearman's correlation Pearson's r correlation Point-biserial correlation Phi correlation
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant negative linear correlation between advertising cost and profit . Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost Profit 17 4 15 20 6. 28 7 17 8 29 Ho: p = 0 На: р < 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Less than (or equal to) a O Greater than a The p-value leads to a decision to Ассept Ho Reject Ho O Do Not Reject Ho The conclusion is O There is a significant negative linear correlation between advertising expense and profit. There is a significant positive linear correlation between advertising expense and profit. O There is a significant linear correlation between advertising expense and profit. O There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit.
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant linear correlation between advertising cost and profit . Use a significance level of 0.05 and round all values to 4 decimal places. Advertising Cost Profit 3 19 4 16 24 6 29 7 25 27 10 30 Ho: p = 0 На: р * 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho The conclusion is O There is a significant negative linear correlation between advertising expense and profit. O There is a significant linear correlation between advertising expense and profit. O There is a significant positive linear correlation between advertising expense and profit. O There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and…
what are the critical values r =?

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