MAG Unit 3 Bivariate Data

What type of correlation does the scatter plot show?

• Positive Correlation

• Negative Correlation

• No Correlation

Tags

CCSS.8.SP.A.1

CCSS.8.SP.A.2

The ??? is the variable that is explained by the other variable.

What is the explanatory variable? (more than one correct answer)

• The variable displayed on the x-axis

• The variable displayed on the y-axis

• The variable that explains the change

• The variable that is different to all the rest

Describe the strength, direction and form.

• Strong, negative, linear relationship

• Weak, negative, linear relationship

• Strong, positive, linear relationship

• Non-linear relationship

The following plot shows the number of salespeople in each region and the number of sales recorded for the region by a company. From the scatterplot, it can be said that:

• There is no association between the variables

• There is a weak positive association between the variables

• There is a weak negative association between the variables.

• There is a strong positive association between the variables

• There is a strong negative association between the variables.

A correlation coefficient of –0.65 would describe a relationship classified as:

• weak negative

• weak positive

• moderate negative

• strong negative

• no relationship

There is a strong positive correlation (r = 0.985) between the level of carbon monoxide emissions and the level of traffic congestion in a city. From this information, we can conclude that:

• the level of carbon monoxide emissions in a city will increase if the traffic congestion in a city is increased

• the level of carbon monoxide emissions in a city will decrease if the traffic congestion is increased

• cities with a high level of carbon monoxide emissions tend to have high traffic congestion

• cities with a high level of carbon monoxide emissions tend to have low levels of traffic congestion

• increasing the carbon emissions in a city will increase the traffic congestion

The value of the correlation coefficient  $r$   is useful indicator of the strength of an association between two variables when:

• one variable is numerical and the other is nominal.

• both variables are categorical

• both variables are numerical and the association is linear. 

• one variable is numerical and the other ordinal. 

• none of the above. 

Which scatter plot could have a correlation coefficient close to -0.5

• A

• B

• C

• D

In a scatterplot, an outlier...

• ...is something we didn't learn in 8th grade
• ...is a point on the origin
• ...is a point that is far outside the main cluster of points/ordered pairs
• ...is a group of points that are close together

Tags

CCSS.HSS.ID.A.3

CCSS.HSS.ID.B.6