For Table 1, determine the following point estimates: The mathematical expectation.The variance.Root-mean-square deviationCorrelation coefficient between X and Y.Correlation coefficient between X and Z.Correlation coefficient between Y and Z.Table 1 and the tablic coefficients are in the images below N1234Career 159435553For Table 1, determine the following point estimates:1. The mathematical expectation.2. The variance.3. Root-mean-square deviation4. Correlation coefficient between X and Y.5. Correlation coefficient between X and Z.6. Correlation coefficient between Y and Z.Tablic values:For Table 1, determine the confidence intervals of:1. The mathematical expectation.2. The variance.3. The variation of the input quantity.a = 0.05T(a/2, v= 2) = 4.3027T(α2,1,v= 3) = 3.1825T(a/2, v= 4) = 2.7765T(a/2, v= 6) = 2.4469Fla/2, 4, 4) = 9.6045F(a/2, 3, 3) 15.4392F(a/2, 3, 4) = 9.9792F(a/2, 1, 4) = 7.708F(a/2, 4, 3) = 9.12Career 272798186G(x, 3, 3) = 0.7977x12= x2(a2, 3) = 0.2158x22=x2 (1-a2, 3) = 9.348T(α, 4) = 1.71Career 358496047Table 11

Given the data asNCareer 1Career 2Career 31597258243794935581604538647

For Table 1, determine the following point estimates: The mathematical expectation. The variance. Root-mean-square deviation Correlation coefficient between X and Y. Correlation coefficient between X and Z. Correlation coefficient between Y and Z. Table 1 and the tablic coefficients are in the images below

For Table 1, determine the following point estimates: The mathematical expectation. The variance. Root-mean-square deviation Correlation coefficient between X and Y. Correlation coefficient between X and Z. Correlation coefficient between Y and Z. Table 1 and the tablic coefficients are in the images below

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Can a low barometer reading be used to predict maximum wind speed of an approaching tropical cyclone? Let x be the lowest pressure (in millibars) as a cyclone approaches, and let y be the maximum wind speed (in miles per hour) of the cyclone. Suppose a random sample of cyclones gave the following information. x 1014 935 980 955 995 y 50 80 60 135 84 Would you say the correlation is low, moderate, or strong? Positive or negative? If necessary, draw a scatter diagram of the given data. Question 1 options: moderate and negative low and negative strong and negative low and positive moderate and positive
Consider the following data x -4,-3,-2,-1,0 P(X=x) 0.3,0.1,0.2,0.1,0.3 Find the variance. Round your answer to one decimal place.
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
Which plot indicates a correlation of 0.7? A R 8 8 in 10 A
Using the below data, how will you judge the degree of correlation between the two variables x and y? Edxdy = 125 Ox = 5 n = 60 Oy = 7 O a. Very low degree of correlation O b. No correlation O C. Perfect correlation O d. Very high degree of correlation
Construct the scatter plot for the following data. From the plot does there appear to be a linear correlation? Data x 2 -4 -2 -1 -2 -1 -4 6 -5 -2 y -1 -7 2 -7 4 -2 -5 4 -4 -5 2. Find the value of the linear correlation coefficient. 3. Perform a hypothesis test on the claim that there is a linear correlation. Does there appear to be a linear correlation? Why or why not? (Use the traditional method) List the null and alternative hypothesis, the critical value, the test statistic, Draw the graph and label the test statistic, critical value and rejection regions. Reject or fail to reject? State the conclusion
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…
Use the data to the right to complete parts (a) through (d) below. Percentage Who Won't Try Don't Approve of Sushi Marriage Equality Generation Millennials y 32 39 Gen X Boomers Silent/Greatest Generation 54 52 61 55 69 66 a. Determine the correlation coefficient between the percentage of people who won't try sushi and the percentage who do not approve of marriage equality. (Do not round until the final answer. Then round to two decimal places as needed.) b. What explanations can you offer for the correlation coefficient in part (a)? Choose the correct answer below. O A. Unwillingness to try sushi and disapproval of marriage equality have a weak positive correlation. O B. Unwillingness to try sushi and disapproval of marriage equality have a strong negative correlation. C. Unwillingness to try sushi and disapproval of marriage equality have no correlation. O D. Unwillingness to try sushi and disapproval of marriage equality have a strong positive correlation. c. Find the equation of…
The data shown to the right for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. X. y 12 140 a. Construct a scatter plot for these data. Based on the scatter plot, how would you describe the relationship between the two variables? b. Compute the correlation coefficient. 15 170 11 130 13 160 15 180 10 120 14 140 10 150 a. Which graph below shows a scatter plot for these data? O A. OB. C. O D. Ay 200-4 Ay 200- 本y 15- Ay 15- 0+ 10 0+ 10 10+ 15 10 15 200 200 Click to select your answer(s).
The Pearson correlation coefficient would indicate that the data set below has a(n): A. strong positive relationship. B. strong negative relationship. C. undefined relationship because the line is horizontal. D. relationship that is near zero because no linear relationship exists.
Which of the R values below is consistent with a "perfect" correlation? a. 0.0 b. 0.5 c. -1.0 d. 0.95
Dr. Wabld Hamdy given by the following table: y X-4 -2 2 4 --2 0 0.25 0 0 -100 0.25 1 0.25 00 0 2 0.25 0 Find the correlation coefficient between X and Y llu mad and imported automobiles sold