If it has been determined that there exists a very strong linear relationship between two variables, aandy, thenO a. It can be assumed that x causes a change in yO b. No correct answerO c. It can be assumed that y causes a change in xO d. A causal relationship between x and y may not exist. If two variables are said to be strongly correlated with each other, then the correlation coefficientmust beO a. Any value greater than 1O b. Much smaller than 0, if r is negativeO c. Much smaller than 0, if r is positiveO d. Much larger than 0, if r is negative

We have the given the following statement about the correlation coefficient.

If it has been determined that there exists a very strong linear relationship between two variables, a and y, then O a. It can be assumed that x causes a change in y Ob. No correct answer O c. It can be assumed that y causes a change in x O d. A causal relationship between a and y may not exist.

If it has been determined that there exists a very strong linear relationship between two variables, a and y, then O a. It can be assumed that x causes a change in y Ob. No correct answer O c. It can be assumed that y causes a change in x O d. A causal relationship between a and y may not exist.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter3: Straight Lines And Linear Functions

Section3.4: Linear Regression

Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4

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Question

If it has been determined that there exists a very strong linear relationship between two variables, a
and
y, then
O a. It can be assumed that x causes a change in y
O b. No correct answer
O c. It can be assumed that y causes a change in x
O d. A causal relationship between x and y may not exist.

If two variables are said to be strongly correlated with each other, then the correlation coefficient
must be
O a. Any value greater than 1
O b. Much smaller than 0, if r is negative
O c. Much smaller than 0, if r is positive
O d. Much larger than 0, if r is negative

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