Think About It! Section
Select the answer you think is correct  then click the right arrow to proceed to the next question.

The answer is Bar Graph  because a bar graph can only be used with categorical data.

Correct. Bar Graph  because a bar graph can only be used with categorical data.

The answer is Bar Graph  because a bar graph can only be used with categorical data.

The answer is Bar Graph  because a bar graph can only be used with categorical data.

The answer is 1 to 1 because a perfect linear relationship either has a correlation of 1 or +1, these two numbers form the boundaries for possible values for a correlation.

The answer is 1 to 1 because a perfect linear relationship either has a correlation of 1 or +1, these two numbers form the boundaries for possible values for a correlation.

Correct. 1 to 1 because a perfect linear relationship either has a correlation of 1 or +1, these two numbers form the boundaries for possible values for a correlation.

The answer is 1 to 1 because a perfect linear relationship either has a correlation of 1 or +1, these two numbers form the boundaries for possible values for a correlation.

The answer is 6 because the slope is the b value in the formula in the textbook (page 189) and the sign is important. In this case, for each additional unit of x, the y value is predicted to increase (since the sign is positive) by 6 units.

The answer is 6 because the slope is the b value in the formula in the textbook (page 189) and the sign is important. In this case, for each additional unit of x, the y value is predicted to increase (since the sign is positive) by 6 units.

The answer is 6 because the slope is the b value in the formula in the textbook (page 189) and the sign is important. In this case, for each additional unit of x, the y value is predicted to increase (since the sign is positive) by 6 units.

Correct. 6 because the slope is the b value in the formula in the textbook (page 189) and the sign is important. In this case, for each additional unit of x, the y value is predicted to increase (since the sign is positive) by 6 units.
Describe the association found in the graph above.

The answer is negative linear association  because the y value decreases as the x value increases which is a negative association. Anytime one variable decreases as the other variable increases you have a negative association.

Correct. Negative linear association  because the y value decreases as the x value increases which is a negative association. Anytime one variable decreases as the other variable increases you have a negative association.

The answer is negative linear association  because the y value decreases as the x value increases which is a negative association. Anytime one variable decreases as the other variable increases you have a negative association.

The answer is 2.8 because the slope and the correlation must always have the same sign.

Correct. 2.8 because the slope and the correlation must always have the same sign.

The answer is 2.8 because the slope and the correlation must always have the same sign.

Correct. More populous states like California and Texas are expected to have more infant deaths. Watch out for variables that are both strongly related to population size. Often using rates (like infant deaths per 1000 births) is more valid.

The answer is that more populous states like California and Texas are expected to have more infant deaths. Watch out for variables that are both strongly related to population size. Often using rates (like infant deaths per 1000 births) is more valid.

The answer is that more populous states like California and Texas are expected to have more infant deaths. Watch out for variables that are both strongly related to population size. Often using rates (like infant deaths per 1000 births) is more valid.

The answer is that more populous states like California and Texas are expected to have more infant deaths. Watch out for variables that are both strongly related to population size. Often using rates (like infant deaths per 1000 births) is more valid.

The answer is: higher than 0.6. Shaquille O’Neal would be an outlier in both height and weight (falling in the far upper right of the scatterplot) and would increase the correlation.

The answer is: higher than 0.6. Shaquille O’Neal would be an outlier in both height and weight (falling in the far upper right of the scatterplot) and would increase the correlation.

Correct. Higher than 0.6. Shaquille O’Neal would be an outlier in both height and weight (falling in the far upper right of the scatterplot) and would increase the correlation.