Question
Final and course grade: We recorded the final exam (in percent) and course grade (in percent) for 75 statistics students. Which of the following scatterplots
Final and course grade:We recorded the final exam (in percent) and course grade (in percent) for 75 statistics students. Which of the following scatterplots shows that students with higher final exam scores tend to have higher course grades?
Group of answer choices
Plot 1
Plot 2
Plot 3
Flag question: Question 2Question 21.4pts
Which of the following plots has a negative association?
Group of answer choices
Plot 1
Plot 2
Plot 3
Plot 4
Flag question: Question 3Question 31.4pts
Which of the plots has the strongest linearassociation?
Group of answer choices
Plot 1
Plot 2
Plot 3
Plot 4
Flag question: Question 4Question 41.4pts
Which of the following plots has the strongestcurved form?
Group of answer choices
Plot 1.
Plot 2
Plot 3
Plot 4
Flag question: Question 5Question 51.4pts
For the following problem, suppose we have a collection of cars, we measure their weights and fuel efficiencies, and generate the following graph of the data.(Source:http://lib.stat.cmu.edu/DASL/Datafiles/carmpgdat.html)
What can we conclude from this data?
Group of answer choices
The strong association proves that more weight causes a lower mpg rating.
Higher vehicle weights are strongly associated with lower MPG rates, but this data set does not indicate that higher vehicle weights cause lower MPG.
It makes sense that more gas is required to move heavier vehicles, so heavier cars cause lower MPG.
This data shows that to lower MPG and increase fuel efficiency, engineers need to design lightweight vehicles.
Flag question: Question 6Question 61.4pts
The four correlation coefficients for the scatterplots shown below are 0.1169, 0.7699, 0.9396, and 0.1632.
Which one of these correlation coefficient values is the most appropriate choice for the data shown in Plot 1?
.
Group of answer choices
0.1169
0.7699
0.9396
0.1632
Flag question: Question 7Question 71.6pts
Student debt:Financial aid staff at a local university are studying issues affecting student debt. They noticed that students who own more credit cards tend to have larger combined debt balances. Which variable (number of credit cards owned or combined debt balance) is the explanatory (predictor) variable in this context?
Group of answer choices
Combined debt balance
Number of credit cards owned
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