A correlation of r = 0.85 is found between weekly sales of firewood and cough drops over a 1-year period. Which of the following is a correct interpretation of this correlation value? Fire must be the cause of coughing. Temperature is a possible lurking variable that is behind this relationship. There is a pretty strong positive linear relationship between sales of firewood and cough drops.

Consider the following correlation between the sale of ice cream and the number of forest fires.Which of the following is the null hypothesis for this correlation?a.When people buy more ice cream, they go outside and often start forest fires while smokingb.Ice cream sales and forest fires are correlated purely by chancec.In summers, the heat makes people buy ice cream and also leads to forest firesd.During forest fires, people buy ice creams for comfort

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.

Assertion (A) Sale of ice-cream increases during summer, shows positive correlation.Reason (R) When two variables move in same direction, it shows positive correlation.

Using data from 100 hospitals, a correlation of r = 0.78 is found between the size of a hospital (measured in number of beds) and the average length of patient stays (measured in days). Which of the following is true? There is a pretty strong positive linear correlation between number of beds and length of hospital stay. Increasing hospital size must be the cause of longer patient stays. “Severity of illness” is a possible lurking variable that is behind this relationship.

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