The same math test is given to a sample of elementary school students in Grades 1through 4. The correlation between a students height and his or her score on the testis calculated to be r = 0.85. This does not, however, indicate a causal relationshipbetween the two variables. Which of the following is likely a lurking variable in thiscase?genderageteachertype of questionsstudy time

A lurking variable is the one which is not representing an explanatory or independent variable but…

Answered: The same math test is given to a sample…

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 researcher is interested in examining the relationship between ACT scores and college GPA. Participant ACT ?̅ = 29.67; ?? = 3.39 GPA ?̅ = 3.30; ?? = .52 1 24 2.75 2 28 3.25 3 29 3.50 4 35 3.75 5 34 4.00 6 30 3.80 7 29 2.60 8 27 2.68 9 31 3.36 Predict the GPA from an ACT score of 22. Predict the GPA from an ACT score of 25. Find the standard error of the estimate. What does this tell you about your predictions?
The ages of the runners in a race and their finishing positions are given in the following table. Assuming x is the finish position and y is the person's age, is there a significant correlation between age and finishing position? Answer Choices Not significant Not one of these Significant at both 5% and 1% Significant at 5% but not 1% Significant at 1%
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
8.
There is a strong correlation between the number of students graduating from SVS and the population of squirrels in York Region. The most likely type of causal relationship is:A.cause and effect B.accidental C.presumed D.reverse cause and effect
Which of the following correlation coefficients indicate the strongest relationship between two variables? A .20 B .87 C .80 D -.95
If when measuring two quantitative variables on an individual, we find that increases in the first variable x correspond to decreases in the second variable y, we say that A. there is a positive association between the two variables. b. there is a negative association between the two variables. c. there is no correlation between the two variables. d. there is a cause-and-effect relationship between the two variables.
Correlation studies are often used to help determine whether certain characteristics are controlled more by genetic influences or by environmental influences. These studies often examine adopted children and compare their behaviors with the behaviors of their birth parents and their adoptive parents. One study examined how much time individuals spend watching TV (Plomin, Corley, DeFries, & Fulker, 1990). The following data are similar to the results obtained in the study. a. Compute the correlation between the children and their birth parents. b. Compute the correlation between the children and their adoptive parents. c. Based on the two correlations, does TV watching appear to be inherited from the birth parents or is it learned from the adoptive parents?
Write a report using Word. Cover the following topics. This file contains some information about different cars. Car Weight (pounds), x Miles per Gallon, y A 2750 31.5 B 3120 27.9 C 3385 23.7 D 3740 23.3 E 4225 21 Create a scatterplot for the data in the Weight and Braking columns. Paste it here. a) Using StatCrunch or TI 83/84 to calculate the linear correlation between the data in the Weight and MPG columns. b) Explain the mathematical relationship between Weight and MPG based on the linear correlation coefficient. Be certain to include comments about the magnitude and the direction of the correlation. c) Write the equation for the least-squares regression line if there is one. d) Predict the miles per gallon of car C and compute the residual.
You have data on the incidence of three types of malaria (A, B, and C) in three tropical regions (Africa, Asia, South America) . Is there a relationship between location and type of malaria? What is the appropriate test to answer this question? A Paired Samples t test B Correlation C Chi Square test D Independent Samples t test
When the values of x tend to increase while the values of y tend to decrease; we say that: Answer choices: a. there is a cause-and-effect relationship between the two variables. b. there is a negative correlation between the variables. c. there is no correlation between the two variables.
A national consumer magazine reported the following correlations. The correlation between car weight and car reliability is - 0.30. . The correlation between car weight and annual maintenance cost is 0.20. Which of the following statements are true? I. Heavier cars tend to be less reliable. II. Heavier cars tend to cost more to maintain. III. Car weight is related more strongly to reliability than to maintenance cost. (A) I only (B) II only (C) III only (D) I and II only (E) I, II, and III

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