Scatterplot and Correlation

A survey was conducted to determine the state of the physical and psychological health of high school students.

Some of the survey questions related to student stress levels and student absences due to illness. The data on these variables are displayed in the image.

Which of the following conclusions are appropriate to draw based on the figure above? (Choose all that apply.)

• stress leads to illness

• as stress levels increase, the number of absences tends to increase.

• many student absences are due to stress.

• there is an indirect relationship between stress and illness.

• there is a positive correlation between stress level and number of absences.

Tags

CCSS.HSS.ID.C.9

Y-hat is the ________ value of y for a given value of x.

Tags

CCSS.HSF.LE.B.5

Estimate the correlation coefficient for this scatterplot.

• A) r = -0.9

• B) r = 1

• C) r = 0.9

• D) r = -1

Tags

CCSS.HSS.ID.C.8

To make a prediction using the regression line, you would...

• plug in a predicted guess for y-hat and simplify

• look at the scatterplot

• rearrange the equation to solve for x

• plug in a value for x and simplify

Tags

CCSS.HSF.IF.A.2

What type of association does this scatter plot represent?

• positive linear association
• negative association
• no association
• nonlinear association

Tags

CCSS.HSF-LE.A.1B

1.  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

• 440 turtles
• 40 turtles
• 150 turtles
• 90 turtles

Tags

CCSS.8.F.B.4

CCSS.HSF.LE.A.2

Which scatter plot show a positive relationship?

• Graph A

• Graph B

• Graph C

• Graph D

Tags

CCSS.HSS.ID.B.5

The following scatterplot describe the relationship between height (in cm) and foot length (also in cm) for 12 randomly selected students from the British Census @ Schools database. Which of the following is the best description of this relationship?

• There is some random variation, but otherwise height is directly proportional to foot length.

• There is a roughly linear relationship between height and foot length.

• There is a moderately weak, positive linear relationship between height and foot length.

Tags

CCSS.HSF.IF.B.4

• strong positive

• strong negative

• weak positive

• weak negative

Tags

CCSS.HSS.ID.B.5