Do colors affect mood? You are particularly interested to know which color gives people a sense of serenity and peacefulness. You conduct an experiment by making participants stay for 20 minutes inside a room painted with a particular color (e.g., Red, Orange, Yellow, Green, Blue). With the use of temperature-sensitive cameras, you record the average body temperature of each individual during their stay inside each room (i.e., lower body temperatures are associated with feelings of calmness and relaxation; higher body temperatures - stimulation, excitement). Results are presented on the table. Red Orange Yellow Green Blue 43 39 38 33 31 39 43 39 35 34 41 44 42 34 32 42 35 39 37 32 45 40 39 36 35 41 39 38 33 34

Do colors affect mood? You are particularly interested to know which color gives people a sense of serenity and peacefulness. You conduct an experiment by making participants stay for 20 minutes inside a room painted with a particular color (e.g., Red, Orange, Yellow, Green, Blue). With the use of temperature-sensitive cameras, you record the average body temperature of each individual during their stay inside each room (i.e., lower body temperatures are associated with feelings of calmness and relaxation; higher body temperatures - stimulation, excitement). Results are presented on the table. Red Orange Yellow Green Blue 43 39 38 33 31 39 43 39 35 34 41 44 42 34 32 42 35 39 37 32 45 40 39 36 35 41 39 38 33 34

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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Use the software output below to calculate R, the correlation coefficient. Enter you answer as a decimal, rounded to 4 decimal places. Estimate Std. Error t value Pr(>|t|) (Intercept) poverty% -29.901 7.789 -3.839 0.001 2.559 0.390 6.562 0.000 s = 5.512 R2 = 70.52% R2 = 68.89% 'adj
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he data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 51 inches. Is the result close to the actual weight of 4 punds? Use a significance level of 0.05. thest size (inches) Veight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. 45 43 43 52 52 352 374 275 314 440 367 Critical Values of the Pearson Correlation Coefficient r What is the regression equation? Critical Values of the Pearson Correlation Coefficient r a = 0.05 NOTE: To test Ho: p=0 against H, p#0, reject Ho if the absolute value of r is greater than the critical value in the table. y%3= x (Round to one decimal place as needed.) a = 0.01 4 0.950 0.990 0.878 0.959 0.811 0.917 0.754 0.875 8. 0.707 0.834 9. 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.606 0.590…
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The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $6 million. Is the result close to the actual number of viewers, 8.9 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) Click the icon to view the critical values of the Pearson correlation coefficient r. 98 3.5 3 7 13 12 13 10 2 6.8 6.3 10.2 8.5 4.4 1.8 2.7 What is the regression equation? y=+x (Round to three decimal places as needed.) What is the best predicted number of viewers for a television star with a salary of $6 million? The best predicted number of viewers for a television star with a salary of $6 million is million. (Round to one decimal place as needed.) Is the result close to the actual number of viewers, 8.9 million? O A. The result is very close to the actual number of viewers of 8.9 million. O B. The…
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