PockThe data in the table to the right are based on the results of a survey comparing the commute time of adults totheir score on a well-being test. Complete parts (a) through (d) below.Commute TimeE Click the icon to view the critical values for the correlation coefficient.(in minutes)Well-Being Score69.768.167.367.166.265.163.81523375465103(a) Which variable is likely the explanatory variable and which is the response variable?O A. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time.O B. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score.O C. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score.O D. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score.(b) Draw a scatter diagram of the data. Which of the following represents the data?A.OB.OC.OD.110704701.70-.Click to select your answer(s)Type here to searchTOUCPanasonic CF-54OFFCDSS-4852PrtScF9F10F11F12F5F6F7SysRqF2F3F4F1Esc%3D23%247 08 B99!61 A12 A2U四Y15 The data in the table to the right are based on the results of a survey comparing the commute time of adults totheir score on a well-being test. Complete parts (a) through (d) below.QuestionCommute Time(in minutes)E Click the icon to view the critical values for the correlation coefficient.Well-Being Score69.7152337546510368.167.367.166.265.163.8O D. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score.(b) Draw a scatter diagram of the data. Which of the following represents the data?O A.OB.OC.OD.110-70-70-70-0-60Commute Time (min)60-60-6070110Commute Time (min)110110Commute Time (min)Commute Time (min)Click to select your answer(s).、国乐特< 电图男7:27 PM3/12/2021Type here to searchTOUGHBOORPanasonic CF-543004CDSS-4852TEPWO TOGAOOScrollLockPrtScNumLockF10F11F12F8F9F5F6F7bgsisF4F1F2F374BaEsc&0 8#332$4.7 08 B61 A12 A2T415W回~の

a) In theory of statistics, dependent variable is the criterion or response variable. In regression,…

The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. Commute Time (in minutes) Well-Being Score 69.7 68.1 67.3 67.1 66.2 65.1 63.8 E Click the icon to view the critical values for the correlation coefficient. 15 23 37 54 65 103 (a) Which variable is likely the explanatory variable and which is the response variable? O A. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. O B. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score. O C. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score O D. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score. (b) Draw a scatter diagram of the data. Which of the following represents the data? OD. OC. OB. O A. 701. 70- E 110

The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. Commute Time (in minutes) Well-Being Score 69.7 68.1 67.3 67.1 66.2 65.1 63.8 E Click the icon to view the critical values for the correlation coefficient. 15 23 37 54 65 103 (a) Which variable is likely the explanatory variable and which is the response variable? O A. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. O B. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score. O C. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score O D. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score. (b) Draw a scatter diagram of the data. Which of the following represents the data? OD. OC. OB. O A. 701. 70- E 110

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

8zzzzz
(e)
You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 64 32 55 30 72 36 34 30 31 18 16 29 21 22 32 18 46 24 46 31 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Do Not Reject Ho Reject Ho Accept Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. There is…
The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. LOADING... Click the icon to view the table of critical values of the correlation coefficient. a) Which variable is likely the explanatory variable and which is the response variable? Critical Values for Correlation Coefficient n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 n (a) Which variable is likely the explanatory variable and which is the response variable? The explanatory variable is…
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 27 34 27 76 24 55 34 71 21 49 24 34 36 27 19 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Less than (or equal to) αα Greater than αα The p-value leads to a decision to Reject Ho Accept Ho Do Not Reject Ho The conclusion is There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a…
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…
Using technology, what is the correlation coefficient? The weight (in pounds) and height (in inches) for a child were measured every few months over a two-year period. The results are given in the table. O -0.997 O -0.503 Weight (x) 8. 12 18 24 30 32 35 37 40 O 0.503 Height (y) 22 23 26 30 32 33 5 36 38 O 0.997
Use the data values in the table below to calculate the correlation between the variables x and y. Submit the link through Canvas to either a photo of your work on paper or a link to a google sheet. y 4 27.22 5 23.83 6 23.94 7 22.85 8 20.96 9 17.07 10 14.68 11 16.49 12 14.6 Give your answer to three decimal places.
The maximum weights (in kilograms) for which one repetition of a half-squat can be performed and the jump heights (in centimeters) for 12 international soccer players are given in the accompanying table. The correlation coefficient, rounded to three decimal places, is r=0.692. At a =0.05, is there enough evidence to conclude that there is a significant linear correlation between the variables? E Click the icon to view the soccer player data. Determine the null and alternative hypotheses. Ho: p o Maximum Weights and Jump Heights Ha: p o Maximum Jump height, y Determine the critical value(s). weight, x 190 60 to = (Round to three decimal places as needed. Use a comma to separate answers as needed.) 185 56 155 55 Determine the standardized test statistic. 180 59 175 55 t= (Round to three decimal places as needed.) 170 65 What is the conclusion? 150 52 160 52 Ho. There V enough evidence at the 5% level of significance to conclude that there is a significant linear correlation between the…
The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabulary. 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. Data table Critical values for the pearson correlation coefficient (a) Display the data O A. Age, x Vocabulary size, y Critical Values for the 1 6 3000- 2400- 1800- 1200- Pearson Correlation Coefficient 210 3 590 4 1300 The correlation is significant when the absolute value of is greater than the value in the table. 600- 2200 6 4 6 0 2 Age (year 2600 a = 0.05 0.950 a = 0.01 0.990 4 6 8 years) 3 680 4 2100 0.878 0.959 (b) Calculate the sa 280 6 0.811 0.917 7 0.754 0.875 4 1100 0.834 0.798 8 0.707 (Round to three de 6. 2300 0.666 10 0.632 0.765 (c) Describe the ty 11 0.602 0.735 12 0.576 0.708 There is 13 0.553 0.684 Done 0.661 0.532 0.514 0.497 Print 14 15 0.641 Interpret the correla 16 0.623 17 0.482 0.606 O A. As age…
grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 12 26 5 28 11 24 20 21 16 Money 37 84 34 84 53 92 72 92 75 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: P == 0 H1:H1: P ≠≠ 0 The p-value is: (Round to four decimal places) r2 = (Round to two decimal places)
I need correlation coefficient , test statistic , p value & critical values pls help I need in one hour