Question 5 If A and B are correlated, it could mean: O A causes B or B causes A O A and B are both caused by another factor C There is no causal relationship between A and B All of above
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![Question 5
If A and B are correlated, it could mean:
O A causes B or B causes A
O A and B are both caused by another factor C
O There is no causal relationship between A and B
O All of above](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F82b5c32c-2578-4910-aa75-c8367044e495%2F39591e11-e241-4d86-a332-35805663b51f%2Fal7lpaj_processed.jpeg&w=3840&q=75)
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- 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.Which of the following statements about correlation is true? Question content area bottom Part 1 Choose the correct answer below. A. We say that there is a positive correlation between x and y if there is no distinct pattern in the scatterplot. B. We say that there is a positive correlation between x and y if the x-values increase as the corresponding y-values decrease. C. We say that there is a positive correlation between x and y if the x-values increase as the corresponding y-values increase. D. We say that there is a negative correlation between x and y if the x-values increase as the corresponding y-values increaseA special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below, r= -.863 R2=.74 b= -1.212294 a= 131.176598 10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents How much of the variability of acting out is explained by the number of students in the class?___________
- Question 42 If r= +1, the correlation is said to be a ... O Perfect negative correlation O Perfect positive correlation O High degree of positive correlation O High degree of negativve correlationO Question 12 <. A CBS News poll involved a nationwide random sample of 651 adults, asked those adults about their party affiliation (Democrat, Republican or none) and their opinion of how the US economy was changing ("getting better," "getting worse" or "about the same"). The results are shown in the table below. %3D better same worse Republican 38 104 44 Democrat 12 87 137 none 21 90 118 If we randomly select one of the adults who participated in this study, compute: (round to four decimal places) a. P(Republican) = b. P(better) = %3D c. P(better | Republican) = С. %3D d. P(Republican | better) = %3D e. P(Republican and better) Submit QuestionQuestion 15 Which of the following is NOT true of the correlation coefficient? A) It must be between -1 and 1 B) It tells us nothing about the slope of a line that best fits the data, other than telling us whether the slope is positive or negative C) It can’t tell us anything about causality D) All of the above are true
- “The incidence of depression among college students is negatively correlated with the number of sunny days each year in the locale where they attend college.” This statement means that: a. a student attending college in a locale with very few sunny days will become depressed. b. if a depressed student were to move to a locale with more sunny days, the student's depression would subside. c. the chances of a college student being depressed tend to increase as the number of sunny days increases. d. the chances of a college student being depressed tend to increase as there are fewer sunny days.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.Suppose that you conduct a study in which you observe parents and their children interacting at home. You find that the more supportive parents are, the less aggressive their children are. What conclusion can you make? Children being aggressive causes parents to be less supportive. Level of support and aggression are positively correlated. Level of support and aggression are negatively correlated. Parents being more supportive causes children to be less aggressive.
- Does "correlation imply causation"? Give one example in which a variable X ispositively correlated with another variable Y, but we cannot deduce that X causes Y.Review Question 8 If the correlation between number of children in a family and annual income was close to -1, we could conclude that: a) O high incomes cause people to have more children. b) O high incomes cause sterility. c) O low incomes cause people to have more children. d) O high-income families tend to have more children. e) O low-income families tend to have more children. ReviewIf we find that there is a linear correlation between the concentration of carbon dioxide in our atmosphere and the global temperature, does that indicate that changes in the concentration of carbon dioxide cause changes in the global temperature? Choose the correct answer below. A. No. The presence of a linear correlation between two variables does not imply that one of the variables is the cause of the other variable. B. Yes. The presence of a linear correlation between two variables implies that one of the variables is the cause of the other variable.
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