The data in the table to the right are based on the results of a survey comparing -UO A.70-460+0110Time (min)QQO B.1100-6070Time (min)O C.470+60+0Commute TimeHCCScore110QQWell-BeingO D.110+OTH60Score70QQP(c) Determine the linear correlation coefficient between commute time and well-being score.r= (Round to three decimal places as needed.)(d) Does a linear relation exist between the commute time and well-being index score? Select the correct choice below and fill in the answer box to complete yourchoice. KThe data in the table to the right are based on the results of a survey comparingthe commute time of adults to their score on a well-being test. Complete parts (a)through (d) below.Click the icon to view the table of critical values of the correlation coefficient.C(a) which variable is likely the explanatory variable and which is the response variable?Commute Time(in minutes)4162335487298Well-BeingScore69.268.467.267.166.566.163.8O A. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score.OB. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score.OC. 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 the well-being score and the response variable is commute time because well-being score affects the commute time.1

Commute time (in minutes) Well-Being Score 4 69.2 16 68.4 23 67.2 35 67.1 48 66.5 72…

Answered: The data in the table to the right are…

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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The accompanying table shows the height (in inches) of 8 high school girls and their scores on an IQ test. 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. (a) Display the data in a scatter plot. Choose the correct graph below. OA. OB. Oc. OD. Q 130- 120- 110- o 100- 90 H 68+ 68- 130- 120 64- 64- 110- 60- 60- g 100+H 90- 56- 56- 52- 80 Height (inches) 80+ 52 52- 80 Height (inches) 80- 52 130 68 130 68 Height (inches) Height (inches) (b) Calculate the sample correlation coefficient r. Critical Values for the Pearson Correlation Coefficient (Round to three decimal places as needed.) (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. There is linear correlation. Critical Values for the Pearson Correlation Coefficient Interpret the correlation. Choose the correct answer below. O A. Based on the correlation, there does not…
Avg. Weight of Americans 200+ 180 160 140 120 100 1950 1960 1970 1980 1990 2000 2010 Year (a) What variable is the explanatory variable and which is the response variable? (b) Describe the general association of the plot. (c) Does a correlation of -0.25 make sense for this scatterplot? Explain
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?
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price 6 10 14 18 22 26 30 r= Ho: p= 0 Ha: p=0 Find the Linear Correlation Coefficient Find the p-value p-value= Attendence 151 146 146 145 The p-value is 138 137 137 O Less than (or equal to) a O Greater than a The p-value leads to a decision to Accept Ho Reject Ho Do Not Reject Ho The conclusion is There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance. There is a significant negative linear correlation between ticket price and attendance. There is a significant positive linear correlation between ticket price and attendance. There is a significant linear correlation between ticket price and attendance.
An electronics retailer would like to investigate the relationship between the selling price of a certain digital camera model and the demand for it. The accompanying table shows the weekly demand for the camera in one particular market along with the corresponding price. Determine the sample correlation coefficient between the selling price and the demand for this camera. Click the icon to view the demand and price data. r = (Round to three decimal places as needed.) Demand and Price Demand Price 18 320 19 330 15 340 15 350 12 360 12 370 8 380 Print Done
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. (a) Display the data in a scatter plot. Choose the correct graph below. A. Vocabulary size 3000- 2400- 1800- 1200- 600- 0+ • + 0 2 4 6 8 Age (years) (b) Calculate the sample correlation coefficient r. r= (Round to three decimal places as needed.) B. 8- Data Table Age, x 1 2 3456 35~ +6 ✪ 2 4 Print Vocabulary size, y 9 240 540 1100 2300 2600 650 2200 270 1300 2300 Done n C. 8- X ars) 3000 D. Vocabulary size 3000- 2400 1800- 1200- 600- 0- 0 2 468 Age (years)
Mr. Ali runs a gift shop in the Defense area, Karachi. He advertises weekly in the local newspapers and is considering increasing his advertising budget. Before doing so, he decides to evaluate the past effectiveness of these advertisements. Five weeks are sampled, and the advertising expenses (in PKR) and sales volume for each is shown in the Table 2. What is correlation coefficient value. S.No. Sales (PKR 100) Advertising (PKR 100) 1.00 4.00 4.10 2.00 7.00 6.72 3.00 6.00 5.05 4.00 8.00 7.26 5.00 4.00 2.69
Statistics Question
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 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 66 20 75 32 44 31 44 36 19 23 65 29 61 22 58 25 71 27 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value =
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…
Need only a handwritten solution only (not a typed one).
(e)

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