What type of plot should be used to display two quantitative variables?

Question 1 options:

Box plot

Scatterplot

Dot plot

Histogram

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Question 2(1 point)

Which of the following represents the strongest valid correlation coefficient?

Question 2 options:

r = -0.003

r = 0.571

r = 1.362

r = -0.867

Suppose thatxis the age of a husband, andyis the age of his wife. If menalwaysmarry women who are 3 years younger than themselves, what is the equation fory(wife's age) as a function ofx(husband's age)?

Question 4 options:

Question 5(1 point)

In the scenario in above, what would the correlation between x and y be?

Question 5 options:

0

1

-1

More information is needed to answer this question.

Information

Use the following information for problems 6 through 12.

The space shuttle Challenger was destroyed as it launched in January 1986 due to multiple failed O-rings. We have data on the number of failed O-rings at previous launches, and some have noted that more O-ring failures occurred at lower launch temperatures. Before the Challenger launched, the previous minimum launch temperature was 53 F, and predicted temperature for Challenger's launch was 32 F. We want to evaluate the evidence of a relationship between temperature and ring failures.

Question 6(1 point)

The data are in the web app under [Two Quant] as the [Pre-loaded] [shuttle] data. Load it with [Use these data] and copy the least squares line into this box. (Swap order of entry if needed to make damage the response variable and temperature the explanatory variable.)

Question 6 options:

Question 7(1 point)

Does the plot indicate more of a problem at lower temperatures?

Question 7 options:

No, we see fewer failures at lower temperatures and the slope is negative.

Yes, we see more failures at lower temperatures and the slope is not negative.

No, we don't see more failures at lower temperatures and the slope is not negative.

Yes, we see more failures at lower temperatures and the slope is negative.

Question 8(1 point)

Which is the best explanation of the estimated y-intercept?

Question 8 options:

At 16.9F we expect to see no failures

Whenthere are 16.9 failures we expect to the temperature to be 0F

At 0F we expect to see 16.9 failures.

Whenthere are no failures we expect to the temperature to be 16.9F.

Question 9(1 point)

Which is the best explanation of the estimated slope?

Question 9 options:

Each increase of 1F increases expected damage by 0.22.

Eachincrease in 1 failure decreases expected temperature by 0.22F.

Each increase of 1F decreases expected damage by 0.22.

Each increase in 1 failure increases expected temperature by 0.22F.

Question 10(1 point)

Predict the number of O-ring failures at 57 F. (use 2 decimal place accuracy)

Your Answer:Question 10 options:

Question 11(1 point)

Predict the number of O-ring failures at 32 F. (use 2 decimal place accuracy)

Your Answer:Question 11 options:

Answer

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Question 12(1 point)

Whatproblem occurs when we predict number of failures at 32F?

Question 12 options:

Prediction error, temperature at launch time was not known the day before the launch.

Extrapolation, 32F is far lower than 53F, the next lowest temperature.

Interpolation, 32F is between the other x values.

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