lasroom I Newsela | Join A CL.. Play Kahoot! E Google Docs - crea... Lh SEPUP Cell Simulati. OFUINCTIONS AND LINES Identifying correlation and causation Answer uestions below. (a) A financial magazine...

Extracted text: lasroom I Newsela | Join A CL.. Play Kahoot! E Google Docs - crea... Lh SEPUP Cell Simulati. OFUINCTIONS AND LINES Identifying correlation and causation Answer uestions below. (a) A financial magazine conducted a survey. It showed that a person with more years of education tends to have a higher salary. What is likely true? OThere is no correlation between years of education and salary. O There is a correlation between years of education and salary. There may or may not be causation. Further studies would have to be done to determine this. O There is a correlation between years of education and salary. There is probably also causation. This is because there is an increase in salary with an increase in the years of education. (b) A grocery store collected sales data. It found that a change in price does not imply that people will buy more or less milk. What can we determine from this information? O There is no correlation between price and amount of milk bought. O There is a correlation between price and amount of milk bought. However, there is no causation. This is because there is likely a decrease in the amount of milk bought with an increase in the price. O There is a correlation between price and amount of milk bought. There may or may not be causation. Further studies would have to be done to determine this. (c) Mr. Martin studied his students' physics test scores and TV habits. He found that students who watched less TV tended to earn higher scores on the test. What conclusion should he make? O There is no correlation between test score and amount of TV watched. O There is a correlation between test score and amount of TV watched. There is probably also causation. This is because there is an increase in a student's test score with a decrease in the amount of TV watched. O There is a correlation between test score and amount of TV watched. There may or may not be causation. Further studies would have to be done to determine this. Explanation Check 72021 McGraw-Hill Education. All Rights Roserved Terms