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 decrease.B.The baby’s weight gain causes people to open more coffee shops.C.As the baby gains weight, the number of coffee shops tends to increase.D.Having more coffee shops around causes the baby to gain weight.SUBMITarrow_backPREVIOUS

Suppose the correlation coefficient between the number of professional sports teams in a city and the number of hospitals is 0.72. Which statement must be true?A.As the number of sports teams increases, the number of hospitals tends to increase.B.Having more sports teams causes the number of hospitals to increase because athletes often get injured.C.As the number of sports teams increases, the number of hospitals tends to decrease.D.Having more hospitals causes the number of sports teams to increase because teams need to be close to good medical care.

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

Suppose there is a strong positive correlation between a and b. Which of the following must be true?A.An increase in a causes b to increase.B.When a increases, b tends to decrease.C.When a increases, b tends to increase.D.An increase in a causes b to decrease.SUBMITarrow_backPREVIOUS

Which of the following correlational coefficients indicate a relationship that shows as one variable increases, the other variable is increasing also? (There are two correct answers)Group of answer choices-.77+.79-.87+.82

There is a strong positive linear correlation between rainfall and the number of oranges a tree produces. Does this mean that more rainfall causes orange trees to produce more fruit?A.Yes. Since rainfall and number of oranges are positively correlated, this means that more rainfall causes orange trees to produce more fruit.B.Yes. Since rainfall and number of oranges are linearly correlated, this means that more rainfall causes orange trees to produce more fruit.C.No. Any number of factors could also be affecting the number of oranges produced.D.No. Since rainfall and number of oranges are linearly correlated, this means that more rainfall causes orange trees to produce less fruit.SUBMITarrow_backPREVIOUS