Unit 6 quiz 2 review

A scientist is observing the cooling process of a specific chemical liquid. Every 5 minutes, the temperature of the liquid is recorded. The data is shown in the table below.

What type of function BEST models the relationship between the time elapsed and the temperature of the liquid?

• Linear

• Quadratic

• Exponential

• Cubic

Which scatterplot could be BEST modeled by an increasing linear function?

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Tags

CCSS.HSF-LE.A.1B

The table below shows the relationship between the number of hours a student spends studying, , and their final grade on a chemistry project, . Which statement best describes this relationship?

• An exponential function BEST represents the relationship between the number of hours a student spends studying, , and their final grade on a chemistry project

• A square root function BEST represents the relationship between the number of hours a student spends studying, , and their final grade on a chemistry project

• A linear function BEST represents the relationship between the number of hours a student spends studying, , and their final grade on a chemistry project

• A quadratic function BEST represents the relationship between the number of hours a student spends studying, , and their final grade on a chemistry project

• 4.5 lbs.

• 45 lbs.

• 105 lbs.

• 109.5 lbs.

Tags

CCSS.HSF.LE.B.5

A high school athlete is tracking their progress during a 3-month summer training program. They record their daily training hours, their 400-meter dash time, and the number of books they read each month. Their results are shown in the table below:

Determine what type of relationship exists between the variables below. Select the best relationship for each pair.

Groups:

(a) Both Correlation and Causation

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(b) Neither Correlation nor Causation

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(c) Only Correlation

,

(d) Causation Only

• No only Causation

• none

• Training hours and books read

• Training hours and 400m dash time

Tags

CCSS.HSS.ID.C.9

A fitness researcher is studying the relationship between the number of hours spent exercising each week and resting heart rate. The table below shows the data for 10 randomly selected participants.

The researcher concludes that increasing exercise hours causes a person’s resting heart rate to decrease. What is the primary flaw in this reasoning?

• There is no observable correlation between exercise hours and resting heart rate in this data set.

• There is a positive linear correlation, meaning more exercise actually causes a higher heart rate

• While there is a negative linear correlation, a controlled experiment would be required to definitively prove causation, as other factors (like diet or genetics) could be involved.

• The data shows a non-linear relationship, so a linear correlation coefficient cannot be calculated.

Tags

CCSS.HSS.ID.C.9

• The predicted amount of money in Sarah's account after 2 weeks is $150.

• The amount of money in Sarah's account increases by an average of $10 per week.

• The amount of money in Sarah's account decreases by an average of $10 per week

• The predicted amount of money in Sarah's account today is $10.

Tags

CCSS.HSF.LE.B.5

Which scatter plot best illustrates a strong positive correlation?

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Tags

CCSS.HSS.ID.B.5

Eight Students recorded the number of hours they spent on social media during the week and their final score on a History exam . Their data is shown in the graph

(2,95)(3,88)(5,82)(6,85)(8,70)(9,65)(11,58)(12,50)

What is the correlation coefficient (r) for this data, and what is its correct interpretation?

Tags

CCSS.HSS.ID.C.8

• Jasmine will sell 50 ice-cream cones when the temperature is 0°F.

• For every 2° increase, Jasmine will sell 1 additional ice-cream cone.

• For every 1° increase, Jasmine will sell 2 additional ice-cream cones.

• When the temperature is 50°F, Jasmine will sell fewer ice-cream cones than usual.

Tags

CCSS.8.EE.B.5