Scatter Plots and Predictions

Scatter Plots/Box and Whisker

Including Line of Best Fit

Multiple Choice

As x increases, y increases

• correlation coefficient
• causation
• positive correlation
• negative correlation

Multiple Choice

You are analyzing a scatter plot that has a negative correlation. What is true of the of the x and y values?

• As x increases, y decreases

• As x increases, y increases

• As x decreases, y decreases

Multiple Choice

What type of association does this graph have?

• positive 
• negative
• none
• all of the above

Multiple Choice

In a scatterplot, an outlier...

• ...is something we didn't learn 8th grade
• ...is a puppet with a long nose named Pinocchio
• ...is a point that is far outside the main cluster of points/ordered pairs
• ...is a really naughty point who doesn't tell the truth when outside

Multiple Choice

As the age of the car increases, its value decreases. Which scatterplot represents this relationship?

• A
• B
• C
• D

Multiple Choice

What is the correlation?

• Negative correlation
• No correlation
• Positive correlation
• All of the above

Multiple Choice

Which scatter plot shows a linear relationship between x and y?

• Graph A
• Graph B
• Graph C
• Graph D

Multiple Choice

Which scatter plot diagram shows the strongest positive correlation?

Multiple Choice

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative
• Weak Positive

Multiple Choice

Describe the correlation in the graph shown.

• Weak Negative

• Weak Positive

• Strong Negative

• Strong Positive

Multiple Choice

In this image, how would you describe the point that does not fit the pattern of the other dots?

• The point is a linear model.
• The point is an outlier.
• The point is the range.
• The point is the median.

Multiple Choice

The scatter plot shows the relationship between the number of chapters and the total number of pages for several books.  Use the trend line to predict how many chapters would be in a book with 180 pages. 

• 12 chapters
• 15 chapters
• 18 chapters
• 21 chapters

Multiple Choice

Find the equation of the line of best fit for the given data

• y=163.41x + 4.19
• y=-163.41x + 4.19
• y=-4.19x + 163.41
• y= 4.19x - 163.41
  

Multiple Choice

Based on this data, how much money would the carpenter earn from a job that took 3 days to complete?

• $740
• $1000
• $550
• $1740

Multiple Choice

Which of the following could be a possible line of best fit for the data?

• y = -5/2x + 20

• y = -x + 19

• y = x + 20

• y = 2/3x + 15

• y=-5/4x +20

Multiple Choice

Estimate the y-intercept of the trend line by looking at the graph.

• 2
• 1.8
• 1.2
• 0

Multiple Choice

The red line represents the line of best fit for the scatter plot. How many ice cream sales are expected if the temperature is 90°?

• 55
• 0
• 103
• 100

Multiple Choice

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

Multiple Choice

The scatter plot shows the relationship between the number of chapters and the total number of pages for several books. Use the trend line to predict how many pages would be in a book with 6 chapters.

• ≅100 pages

• ≅170 pages

• ≅60 pages

• ≅20 pages

Multiple Choice

Choose the graph with a trend line that best fits the data.

• graph 1

• graph 2

• graph 3

• graph 4

Multiple Choice

Based on the graph, if Joe earned $400, how many hours did he work?

• 25 hours
• 35 hours
• 45 hours
• 15 hours

Multiple Choice

Which of the following lines represents the line of best fit for the scatter plot?

• A
• B
• C
• D

Multiple Choice

If there is NO correlation, the correlation coefficient is ____. 

• 1
• -1
• 0

Multiple Choice

Which sentence describes the relationship shown on this scatterplot?

• As the temperature decreases, the visitors increase. 
• As the temperature increases, the number of visitors increases. 
• As the visitors increase, the temperature decreases. 
• No correlation

Multiple Choice

Estimate the correlation coefficient for this scatterplot. 

• r = -0.9
• r = 1
• r = 0.9
• r = -1

Multiple Choice

Describe the relationship between the variables.

• Weak positive correlation
• Weak negative correlation
• Strong positive correlation
• Strong negative correlation

Multiple Choice

Estimate the correlation coefficient

• r= -0.9

• r= 0.9

• r=-0.5

• r=0.5

Multiple Choice

Data is collected comparing minutes of exercise each day and blood pressure. It is determined that the correlation coefficient is -0.87. What does this mean?

• There is a strong negative correlation between exercise and blood pressure.

• There is a weak negative correlation between exercise and blood pressure.

• There is a strong positive correlation between exercise and blood pressure.

• There is no correlation between exercise and blood pressure.

Multiple Choice

Data is collected comparing sales of cars and the age of the salesperson. After analyzing the data, it is determined that the correlation coefficient is 0.19. What does this mean?

• There is no correlation between sales and age.

• There is a strong positive correlation between sales and age.

• There is a strong negative correlation between sales and age.

• There is a weak negative correlation between sales and age.

Multiple Choice

Data is analyzed comparing hours studied and grades. It is determined that the correlation coefficient is 0.92. What does this mean?

• There is a strong positive correlation between studying and grades.

• There is a strong negative correlation between studying and grades.

• There is a weak positive correlation between studying and grades.

• There is a weak negative correlation between studying and grades.

Multiple Choice

Which example shows a CORRELATION? (The events show correlation, but one thing does NOT cause the other thing to happen.)

• It rained and the ground is wet.

• Ice cream sales increase as temperature increases.

Multiple Choice

Which example shows CORRELATION? (The events show correlation, but one thing does NOT cause the other thing to happen.)

• I put water in the freezer and now I have ice.

• The alarm clock went off and I woke up.

• Temperature and the amount of people at the beach.

Multiple Choice

Which example shows CAUSATION? (Which one CAUSED the other to happen.)

• Being happy and being a better student.

• An insect ate poison and it died.

Multiple Choice

Which example shows CAUSATION? (Which one CAUSED the other to happen.)

• High social media usage and reduced grades.

• Car ran out of gas and being stranded on the side of the road.

• Recess time and number of friends.

Multiple Choice

Which example shows CAUSATION? (Which one CAUSED the other to happen.)

• High social media usage and reduced grades.

• Car ran out of gas and being stranded on the side of the road.

• Recess time and number of friends.

Multiple Choice

What is the Interquartile Range of this data set? The lower (first) quartile is 19 and the upper (3rd) quartile is 56.

• 75

• 37

• 72

Multiple Choice

What is the range of this data set?

• 6

• 12

• 13

• 19

Multiple Choice

What is the median of this data set?

• 8

• 12

• 15

• 19

Multiple Choice

What does point C on the box plot represent?

• First Quartile

• Median

• Third Quartile

• Mean

Multiple Choice

What is the approximate difference in the interquartile ranges?

• 20
• 12
• 32
• 40

Multiple Choice

Which has a Median of 1?

• Zach 
• Steven 
• They both have a median on 1

Multiple Choice

Which is NOT ture?

• The spreads of the low temperatures for Reybold and Picktown are not the same

• Neither box plot is symmetrical

• The median low temeratures for Reybold and Picktown are different

• The lower extreme for Picktown is approximately 5 degrees lower than the lower extreme for Reybold

Multiple Choice

What is the interquartile range of plot A?

• 6
• 8
• 15
• 28

Multiple Choice

Find the median of plot B

• 30

• 14

• 28

• 16

Multiple Choice

Find the median of plot B

• 30

• 14

• 28

• 16