A car manufacturer collects data on the number of gallons of gasoline left in the gas tank after driving for different numbers of miles. The manufacturer creates a scatter plot of the data and determines that the correlation coefficient is -0.92. Select THREE true statements based on this correlation coefficient.(1 point) Responses There is a weak correlation between the number of miles driven and the gallons of gasoline left in the tank There is a weak correlation between the number of miles driven and the gallons of gasoline left in the tank There is a linear correlation between the number of miles driven and the gallons of gasoline left in the tank. There is a linear correlation between the number of miles driven and the gallons of gasoline left in the tank. There is a negative correlation between the number of miles driven and the gallons of gasoline left in the tank. There is a negative correlation between the number of miles driven and the gallons of gasoline left in the tank. There is a strong correlation between the number of miles driven and the gallons of gasoline left in the tank. There is a strong correlation between the number of miles driven and the gallons of gasoline left in the tank. There is no correlation between the number of miles driven and the gallons of gasoline left in the tank

1 answer

Based on the correlation coefficient of -0.92, the following three statements are true:

  1. There is a linear correlation between the number of miles driven and the gallons of gasoline left in the tank.

  2. There is a negative correlation between the number of miles driven and the gallons of gasoline left in the tank.

  3. There is a strong correlation between the number of miles driven and the gallons of gasoline left in the tank.

The correlation coefficient of -0.92 indicates a strong negative linear relationship. This means that as the number of miles driven increases, the number of gallons of gasoline left in the tank decreases significantly.