You calculate a correlation coefficient of -0.8 for the two characteristics of eating a particular fruit and having a particular level of blood cholesterol. What can you conclude?     There is not enough information in this question to provide an answer.     The more of this fruit you eat, the lower your blood cholesterol will be.     There is no correlation between eating this fruit and having a particular level of blood cholesterol.     The more of this fruit you eat, the higher your blood cholesterol will be.     There is a correlation between eating this fruit and having a particular blood cholesterol, but the value of 0.8 is too low to draw any conclusions.

A survey was taken in 2018 that asked people about their saving habits. Researchers wanted to know if people who saved more also spent less. The scatterplot below shows their results when comparing two variables: the amount people reported that they put into savings each month, and the amount they reported that they spent on clothes. The researchers found the correlation coefficient for this data to be -0.239. Which of the following is true about these variables? a. There is no relationship between savings and money spent on clothes each month.b. There is a weak, positive linear relationship between savings and money spent on clothes each month.c. There is a perfect, negative linear relationship between savings and money spent on clothes each month.d. There is a weak, negative linear relationship between savings and money spent on clothes each month.

A random sample of college students was surveyed about how they spend their time each week.  The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week.  The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows:             Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to the…

A negative correlation indicates that as the values of one variable increase, the values of a second variable decrease. O True O False