Bivariate Data Regression Review

A person travels by car.  They record their miles driven in a data table.  Identify the y-variable (output) of the data.

• Time (hours)

• Distance (miles)

Describe the relationship between the variables.

• no correlation

• strong positive correlation

• strong negative correlation

• weak positive correlation

What type of association does this graph have?

• positive 

• negative

• none

• all of the above

What kind of trend is shown from this scatter plot?

• positive correlation

• negative correlation

• none

• cannot be determind

Mrs. Collins made a scatterplot to show the relationship between the number of absences and a student’s final exam score. Based on this scatterplot, a student with 6 absences should get approximately what score on the final exam? 

• 65

• 92

• 70

• 76

Shown is a residual plot. Would a linear regression model of the data be most appropriate?

• YES

• NO

After performing analyses on a set of data, Ms. Cooper examined the scatter plot of the residual values for each analysis. Which scatter plot indicated the best linear fit for the data?

• A

• B

• C

Shown is a residual plot. Would a linear regression model of the data be most appropriate?

• YES

• NO

Shown is a residual plot.
Would a linear regression model be a good fit?

• YES

• NO

A negative residual means...

• that the predicted value is too big

• that the predicted value is too small

• that the x value is too big

• that the x value is too small