A large sample of data is collected in order to study the relationship between the two variables Xand Y to investigate whether X can be used to predict the value of Y. It is found that r= -75. Whichone of the following statements is true?X and Y are perfectly linear correlated and Y decreases as X increasesO X and Y are moderately linear correlated and Y increases as X increasesX and Y are perfectly linear correlated and Y increases as X increasesO X and Y are moderately linear correlated and Y decreases as X increases

A large sample of data is collected in order to study the relationship between the two variables X…

Answered: A large sample of data is collected in…

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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A test was given to a statistics class. Results for each gender and for one student in each gender are given. From the information provided, determine which student received a relatively higher grade. The female scored a 78 with μ=84 and σ=3. The male scored a 80 with μ=86 and σ=2. The female student has a higher relative grade than the male student The male student has a higher relative grade than the female student Both students have the same relative grade Not enough information to determine
a 24. Calculate coefficient of concurrent deviation from the following data : Price 368 Price Imports Imports 384 26 22 21 384 9b er i t ng 24 385 es yhslimie 29 of boTs (aunim) ng 28 ooisv 27 361 20 S JU Nse 400 ntessia el ul22 bidi erb orber385 347 eir)
If the variables x and y have a strong positive linear correlation, then? r = 0 r is close to 1 r is close to –1 r = 2
Below is data for two variables, X and Y. Answer the questions that follow. X Y X-MX Y-MY (X-MX)2 (Y-MY)2 (X-MX)(Y-MY) 3 3 -2 -1 4 1 2 4 3 -1 -1 1 1 ___ 6 4 1 ___ 1 0 0 7 6 2 2 ___ 4 4 Positive or negative correlation?
Q19. The diagram below shows a scatter diagram of values of the variables x and y. Which one of the following is the most appropriate value of the correlation coefficient? Α.-0.5 В. 0.0 С. 0.5 D. 0.95.
The following statement contains an error. Choose the statement that best explains the error. "The correlation between shoe size and height is 0.87 inches" A. Correlation requires that both of the variables be categorical B. When stating the correlation coefficient, one must state whether it is a positive or negative relationship C. This statement does not tell us whether or not shoe size is correlated with height D. When reporting correlation, one does not report units because correlation has no units E. There is no error in this statement
A random sample of college students was surveyed about how they spend their time each week. The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week. The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows: Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to the…
Compute the value of the multiple correlation (R). You should use a computer to find the solution. Y X1 X2 X3 27.6 1 4 4 9.4 3 5 3 15.6 4 7 1 20.3 5 5 4 12.3 3 7 3 8.7 5 3 6 7.3 7 5 7 14.9 6 4 8 17.0 5 3 9 -0.8 4 2 0
In a sample there are 3 male dogs and 3 female dogs. These dogs are couples such that the weight of the ith dog, and the Fi measures the weight of the ith dogs girlfriend. The correlation between M and F is exactly 1 and when the data points are graphed the slope of them are 1. Is it possible for some of these dogs to weight more than their female couple, while other dogs weight less then their female couple? And is it possible that all of the male dogs have couple female dogs that are all shorter than them?
This is a continuation of the last question I posted: f. The value of linear correlation coefficient r is i. 0.948 ii. 0.974 iii. -0.948 iv. -0.974 g.Based on your answer in part (f), the linear dependance between weekly exercise time and change in cholesterol level is strong negative i. True ii. False H. When weekly exercise time is 460 minutes (approximately 66 minutes per day), the 95 percent confidence interval for change in cholesterol level is (197.3, 225.4). This means that: i. If one person exercises 460 minutes per week, his/hers change in cholesterol level will be between 197.3 and 225.4 with 95 percent certainty.ii. If several people exercise 460 minutes per week, their average change in choles- terol level will be between 197.3 and 225.4 with 95 percent certainty. I. When weekly exercise time is 460 minutes (approximately 66 minutes per day), the 95 percent prediction interval for change in cholesterol level is (155.1, 267.6). This means that i. If one person…
3. If there is a linear, strong, and positive relationship between the scores on two tests, we should conclude that A. Scoring high on one test causes an individual to score high on the other test. B. high scores on one test are associated with low scores on the other test. C. as one test score goes down, the other test score goes up. D. low scores on one test are associated with low scores on the other test. E. the value of r must be close to 0.
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