Correlation by eyeSample size=65y15-10-5.0.1020Try to guess the sample correlation within +/- 0.1Guess:Correlation:Sample coeficient of correlation a0000 b)Correlation by eyeSample size=100y201510-005.0-1015XTry to guess the sample correlation within +/- 0.1Guess:Correlation:Sample coeficient of correlation a

Solution The scattered plot shows the relationship between eyes and Guess.

Answered: o o 10 15 20 X Try to guess the sample…

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 Yoga nstructor wants to inter it obesity is related to weight. The instructor selected 15 ot her students at random intervals and the observation is as shown below, a. Apply any suitable correlation analysis to check if there is any correlation between obesity and weight. Justify your choice. b. Calculate the correlation coefficient and interpret your result. Observation Age Severity of obesity VL Legends 2. Age YY: Very Young Y Young M Middle-aged O. Old 00 Very Old M VH 4. 00 VH 00 6. VL Obesity V Low LNormal HHigh VH: Very High 10 11 12 VH 13 14 15 VL VH
Plz help asap, I need the sample correlation coefficient r, type of correlation, interpret the correlation, and use the table of crit values to make a conclusion.
d) Correlation by eye Sample size=45 y 20- 15- og 8. 10- 5. 10 15 20 25 X Try to guess the sample correlation within +/- 0.1 Guess: Correlation: Sample coeficient of correlation a o 00 00
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
Which value of r indicates a stronger correlation: r=0.797 or r= -0.922? Explain your reasoning. Choose the correct answer below. C ⒸA. r= -0.922 represents a stronger correlation because | -0.922|>10.7971. OB. r= -0.922 represents a stronger correlation because 0.797> -0.922. OC. r=0.797 represents a stronger correlation because 0.797 > -0.922. OD. r=0.797 represents a stronger correlation because | -0.922|>10.7971.
Which of the following is the strongest correlation? -0.90 +0.50 +0.95 -0.99
A pediatrician wants to determine the relation that may exist between a child's height and head circumference She randomly selects 8 children from her practice, measures their height and head circumference, and obtains the 27.5 data shown in the table. Complete parts (a) through (e) below. Click here to see the Table of Critical Values for Correlation Coefficient. Height (in.) Head Circumference (in.) O 17.4 25.75 26.75 25 17.1 17.1 16.9 27.5 17.5 26.75 17.2 17.1 25.75 26.75 17.3 (a) If the pediatrician wants to use height to predict head circumference, determine which variable is the explanatory variable and which is the response variable. Choose the corect answer below O The explanatory variable is head circumference and the response vanable is height O The explanatory variable is height and the response variable is head circumference (b) Draw a scatter diagram. Choose the correct graph below. O D. OA. B. Click to select your answer(s). VI 9:31 acer -> esc & backspace @ 2$ % 7 8 1 r…
Which r is the strongest correlation? O -0.8 O-0.18 O-0.09 O 0.711 O 0.4
In running a Pearson correlation, you notice that there are a few outliers. Please describe the next course of action, if any, for the dataset and explain your reasoning.
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.567. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Question content area bottom Part 1 Choose the correct answer below. A. The coefficient of determination is 0.321. 32.1% of the variation is explained by the linear correlation, and 67.9% is explained by other factors. B. The coefficient of determination is 0.679. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. C. The coefficient of determination is 0.321. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. D. The coefficient of determination is 0.679. 32.1% of the variation is explained by the linear correlation, and 67.9% is…
Match each correlation to the correspoding scatterplot please.
A hospital administrator wants a statistic to calculate the relationship between the degree of patient satisfaction and whether that patient was treated in the ER or admitted to the hospital. one-sample t point-biserial correlation O independent-measures t sign test

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o o 10 15 20 X Try to guess the sample correlation within +/- 0.1 Guess: Correlation: nple coeficient of correlation 00