A dataset includes two variables for a city in the past 40 years: the number of high school graduates and the consumption of pizzas each year. You find that the two variables are positively correlated.Which of the following statement best describes such a correlation?i)High school graduates love eating pizzas.ii)If we increase the number of high school graduates, we would expect an increase in the pizza consumption.iii)As there might be an increase in the general population of the city, the number of high school graduates appears to be positively correlated with the pizza consumption. iv)Pizza stores should target high schools to increase their revenue. Question 8Answera.iiib.iic.i, ii and ivd.i and iie.None of the listed statements

Consider the statement below:The divorce rate in Maine decreases with the per-capita consumption of margarine.Which relation best describes this statement?Accidental correlationCausationNegative correlationPositive correlation

Which of the following sets of variables are negatively correlated?1 pointNumber of sales and company profit.Weight and height of a human.Outside temperature and ice cream sales.For a college student, time spent watching TV or scrolling on social media and final exam score.

Which of the following pairs do not suggest a positive correlation?number of workers and time to finish a certain work.family members and pieces of clothes to washsalary income and expendituressalary income and educational attainment

Suppose a study finds a positive correlation between the number of TV sets in the home of high school seniors and their admission rate into college. Which of the following might we conclude from this data? The increase in home TV sets improves the likelihood of college admission. Better students tend to have a TV set available. This is an anomaly and there is no relationship between TVs in the home and college admission rate. There may be a third variable that creates a link between the number of TVs in the home and college admission rate.

Suppose the correlation coefficient between a baby’s weight and the number of coffee shops in Plumville is 0.87. Which statement must be true?A.As the baby gains weight, the number of coffee shops tends to increase.B.As the baby gains weight, the number of coffee shops tends to decrease.C.The baby’s weight gain causes people to open more coffee shops.D.Having more coffee shops around causes the baby to gain weig