The same math test is given to a sample of elementary school students in Grades 1 through 4. The correlation between a students height and his or her score on the test is calculated to be r = 0.85. This does not, however, indicate a causal relationship between the two variables. Which of the following is likely a lurking variable in this case? gender age teacher type of questions study time

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