Ms. Cook studied her students' geography test scores and TV habits. She found that students who watched less TV tended to earn higher scores on the test. What conclusion should she make?There is no correlation between test score and amount of TV watched.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.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.

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.

A researcher is interested in whether watching an educational program on television has a positive impact on children's grades at school. The researcher records the number of days children watch an educational program over a one-month period and relates it to their grades at school. This study is best described as:Question 13Answera.quasi-experimental.b.correlational.c.experimental.d.a survey.

According to the class lecture material, which cause-and-effect conclusion, if any, can we draw from the correlational studies of watching violent television? behaviors.Group of answer choicesA. Watching violence on television causes aggressive behavior.B. Watching violence on television reduces aggressive behavior.C. Watching violence on television has no effect on aggressiveD. We can draw none of these conclusions.

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

Critics of television often refer to the detrimental effects that all the violence shown on television has on children. However, there may be another problem. It may be that watching television also reduces the amount of physical exercise, causing weight gains.The following regression estimates show the relationship between the number of kilograms (in kgs) a child is overweight by, and the number of hours of television viewing per weekoverweight  =  0.55 +    0.13 hours (0.27)       (0.04)  Standard errors are shown in the brackets. The sample size is N=1800We want to test the hypothesis that the population slope parameter equals to 0. Suppose we obtained a t-statistic that is small such that we do not reject the null hypothesis. Is this statement true or false: "There is a positive relationship between TV viewing and being overweight."  Group of answer choicesTrueFalse