Answered: The strength of the correlation is…

The strength of the correlation is indicated by a number value and the closer that value is to zero, the weaker the correlation. O True O False

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 18HP

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A negative correlation indicates that as the values of one variable increase, the values of a second variable decrease. O True O False
For a certain class, the relationship between the amount of time spent studying and the test grade earned was examined. It was determined that as the amount of time they studied increased, so did their grades. Is this a positive or negative association?
we can conclude from correlation calculation that one variable caused the other variable. True or False.
Which of the following statements is always true? A.If the correation coefficent r = 0, then this means there is no relationship between the two variables B.The correlation coefficent r is always postive C.If two variables are negatively correlated, then as one variable decrease the other variable will also decrease D.The correlcation coefficient r must be a value where −1≤?≤1
If there is a strong correlation between the variables a and b, b must cause a. OA. True O B. False
The given figure displays the relationship between golfers' scores on the first and second rounds of the 2019 Masters Tournament. The correlation is ?=0.283.is �=0.283. The provided figure gives data on number of boats registered in Florida and the number of manatees killed by boats for the years 1977 to 2018. The correlation is ?=0.919.is �=0.919. Explain in simple language why knowing only these correlations enables you to say that prediction of manatee deaths from number of boats registered by a regression line will be much more accurate than prediction of a golfer's second-round score based on that golfer's first-round score.
A phrase often repeated in this class is "correlation is not causation". Which of the following best describes what this phrase means? Correlation is not causation means that just because two values appear to be related on a graph doesn't mean that one necessarily causes the other. Correlation is not causation means that when we see values that move together (e.g. ice cream sales and murder rates), we can assume that one must be causing the other. Correlation is not causation means that if values move in opposite directions (e.g. average temperature goes down and grades go up), we can assume that one must influence to the other. O Correlation is not causation means that when values are shown to be related in a graph, this is proof that they are not causal.