The weights (in pounds) and cholesterol levels (in mg/dL) of several individuals was observed. The data are shown in the scatterplot below:The outlier on the graph is likely due to an error in recording the data. Which of the following statements is true? A reasonable value of the correlation coefficient r for these data is 1.2. If the weight (WT) were measured in kilograms instead of pounds (1 lb = 0.4536 kg) the value of r would change accordingly. If the outlier were removed, the correlation coefficient (r) would increase. If the outlier were removed, the correlation coefficient (r) would decrease.

A local ice cream shop kept track of the number of cans of cold soda it sold each day, and the temperature that day, for two months during the summer. The data are displayed in the scatterplot below:The one outlier corresponds to a day on which the refrigerator for the soda was broken. Which of the following is true? A reasonable value of the correlation coefficient r for these data is 1.2. If the temperature were measured in degrees Celsius (C = 5/9*(F-32)), the value of r would change accordingly. If the outlier were removed, r would increase. If the outlier were removed, r would decrease.

Data was collected on 130 patients recording their percent of fat and Body Mass Index (BMI). What can you conclude from this scatterplot?

Which of the following is not affected by outliers?

The data in the scatterplot below are an individual's weight and the time it takes (in seconds) on a treadmill to raise his or her pulse rate to 140 beats per minute. The o's correspond to females and the +'s to males. Which of the following conclusions is most accurate? There is a negative correlation between time and weight for males and for females. There is a positive correlation between gender and weight. There is a positive correlation between time and weight for males and for females. There is a negative correlation between gender and weight.

Which of the following is common between a Scatterplot and a Correlation Analysis?