B1,0-36.5Interpret the sample covariance.2,0The relationship is negative.c. Compute the sample covariance (to 1 decimal and enter negative value as negative figure).Xb. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?3,0There is a strong negative linear relationship.Hide Feedback4,0The negative value of the sample covariance indicates a negative linear relationship.d. Compute the sample correlation coefficient (to 3 decimals and enter negative value as negative figure).Partially Correct0 Icon Key10-0.903Interpret the sample correlation coefficient. Hint: If the correlation coefficient is greater than 0.80 or less than -0.80, there is a strong relationship.20Exercise 03.55 Algo (Measures of Association Between Two Variables)3,04,0XHint(s) Check My WorkQuestion 2 of 2 Five observations taken for two variables follow.a. Which of the following scatter diagrams accurately represents the data set?A.60-5040-30-20-1060-50-40--302010203040B.D.-6050-40--30-20-1060-50-40--3020•102030274Yi40A44405 10403041560 20

The following data is given,xy44054010304601520It is required to construct a scatter plot, compute…

Answered: b. What does the scatter diagram…

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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1. A professor is interested in how attendance is related to grades her class. She goes through her records and determines each student’s final average and the number of days absent. The scores for her sample are given in the table below. a. Construct a scatter plot of the relationship between final averages and the number of days absent. b. Is there a significant relationship between final averages and the number of days absent? Calculate and interpret the correlation and report it in proper APA format. c. Compute r2 for the data. What percent of the variability in final averages is accounted for by the number days absent?
2. Consider the following examples; would you expect the correlation coefficient to be close to 1, -1, or 0 (10 points): The amount of time a dog is walked, and the number of hours the dog sleeps at night Outdoor temperature and snowfall. The length of time someone wears braces and their SAT scores. 3. The following graph represents the amount of time that someone studies for their final exam, and their final examination grade (HINT) (20 points). Student 1 Student 2 Student 3 Student 4 Student 5 Student 6 Hours Studied 4 7 11 8 10 8 Final Exam Grade 55% 72% 88% 93% 91% 84% Graph the following students as ordered pairs. Let the x-axis represent the hours studied, and the y-axis represent the students’ final exam grade. Circle the value that best represents the estimate of r: (circle one) -0.99, -0.62, -0.30, 0, 0.30, 0.75, 0.85, 0.99
Is the correlation about 0.02, 0.22, or 0.92 with the outlier? Without this outlier, is the correlation about 0.18, 0.78, or 0.98? Is the outlier is an influential point to the correlation?
10. Describe the pattern of data that is observed when there is a strong negative correlation between X and Y.
A food truck owner recorded the temperature at noon, in degrees Fahrenheit, and the number of bowls of soup sold during the lunch hour for a random sample of 5 days. The data are shown in the following table. Temperature (degrees Fahrenheit) 57 75 43 68 67 Number sold 17 12 20 8 13 The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold? A -0.85 B -0.68 0.68 D 0.73 E 0.85
16. In comparing the relationship between rainfall and hot dog sales, a student finds the correlation to be r = -0.56. What is the best description of the relationship between these two sets of data? Group of answer choices Negative and Strong Positive and Weak Negative and Moderate Positive and Moderate
OA. Tip Amount ($) Construct a scatterplot. Choose the correct graph below. 25- The table below includes data from taxi rides. The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars. Is there sufficient evidence to conclude that there is a linear correlation between the time of the ride and the tip amount? Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a 0.01. Does it appear that riders base their tips on the time of the ride? Click here for information on the taxi rides. 0 35 Ride time (minutes) Determine the linear correlation coefficient. The linear correlation coefficient is r= (Round to three decimal places as needed.) Tip Amount ($) B. Q 25- Q 0- 0 35 Ride time (minutes) Tip Amount ($) C. 25- Q 0 35 G Ride time (minutes) O D.…
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