Causing Problems
Fitting the Mold
Resident Residuals
Approximation Station
100

"The more I eat, the more weight I gain"

Is this an example of correlation or causation?

Causation

100

What do you call a clump of points, oftentimes not following the path of the line of fit?

A cluster.

100

What do you call a point that is far from the other points on a scatterplot?

Outlier

200

Mr. Coffey notices that students with brown eyes tend to score higher on tests.

Is this an example of correlation or causation?

Correlation

200

Which represents the best line of fit for the scatterplot? See ppt slide 43.

y = -0.7x + 6.7

200

Where can you find a negative residual?

Under the line of fit

200

Approximate the value of x when y = 4. See slide 46.

x = -4

300

If two variables are correlated, do they always have a causation relationship?

No

300

A line of best fit is given by the equation y = 1.1x + 4. 

If x represents the hours practicing basketball and y represents the score, interpret the meaning of the slope. 

The score increases by 1.1 per hour of practice.

300

Sort the residuals into positive and negative groups. See PPT slide 45.

A and F are positive

B, C, D, and E are negative

300

Approximate the value of y when x = -6. See slide 46.

y = 5

400

Which pair most likely shows a correlation but NOT a causation?

Practicing basketball and drinking more water.

Practicing basketball and better basketball skills.

Practicing basketball and improved endurance.

Practicing basketball and drinking more water

400

A line of best fit equation is given by y = 2.5x + 1

If x represents the hours of sleep, and y represents a test score, interpret the meaning of the y-intercept in the equation.

With zero sleep, the predicted test score would be 1.
400

Describe the direction and strength of a correlation coefficient of -0.3.

Weak negative.
400

Based on the trend of the data, what grade is a student who studies for 36 minutes likely to receive? See PPT slide 47.

75

500

Give your own example of a causation relationship between two variables.

Varies

500

Which line of best fit equation best fits the model in the picture? Slide 44. 

y = -0.8x + 9

500

Order the correlation coefficients from strongest to weakest:

-0.3, 0.99, -1, 0.24

-1, 0.99, -0.3, 0.24

500

Based on the trend of the data, how much study time would it take for a student to receive a grade of 85?

50 minutes