Strong Week Correlation

Describe the strength of the correlation in the scatterplot shown.

• Strong correlation

• Perfect correlation

• Weak correlation

• No correlation

Describe the strength of the correlation shown in the scatterplot

• Perfect correlation

• Strong correlation

• Weak correlation

• No correlation

Describe the direction of the correlation in the scatterplot shown.

• Positive correlation

• Negative correlation

• No correlation

• All the above

Describe the strength of the correlation in the scatterplot shown.

• Perfect correlation

• Strong correlation

• Weak correlation

• No correlation

Describe the direction of the correlation in the scatterplot shown.

• Positive correlation

• Negative correlation

• No correlation

• All the above

How much in sales would you expect (predict) to make selling 60 pizzas?

• $70

• $325

• $358

• $390

Describe the direction of the correlation shown in the scatterplot

• Positive correlation

• Negative correlation

• No correlation

• All the above

What does this scatterplot tell us?

• As the number of hours worked increases, the amount of money earned in dollars increases.

• As the number of hours worked increases, the amount of money earned in dollars decreases.

• There is no relationship between the number of hours worked and the amount of money earned in dollars.

What does the scatterplot tell us?

• As the driver age in years increases, the maximum distance that the driver can read a sign from increases.

• As the driver age in years increases, the maximum distance that the driver can read a sign from decreases.

• There is no correlation between the driver age in years and the maximum distance that the driver can read a sign.

What does the scatterplot tell us?

• As the life expectancy at birth in years increases, the net happiness increases.

• As the life expectancy at birth in years increases, the net happiness decreases.

• There is no correlation between life expectancy at birth in years and net happiness.