Strength of Correlation Assignment and Quiz 100%

Which r-value represents the strongest negative correlation? -0.7 -0.22 0.38 0.9

-0.7

Which r-value represents the strongest correlation? -0.83 -0.67 0.48 0.79

-0.83

Which is most likely the correlation coefficient for the set of data shown? -0.91 -0.35 0.35 0.91

-0.91

What is the correlation coefficient for the data shown in the table? 1 -1 5 10

-1

Which r-value represents the weakest correlation? -0.75 -0.27 0.11 0.54

0.11

Which r-value represents the most moderate correlation? -0.92 -0.18 0.56 0.83

0.56

Claudia records the hours she spent studying and her test scores for 5 tests. What is the correlation coefficient? -0.85-0.840.840.85 What is the strength of the model?

0.85 strong positive correlation

Hope researches the impact of one variable on another. She graphs the data from her research and sees that the data forms a shape that is similar to an arch. What conclusion can Hope draw from her graph?

Because the graph shows a pattern that is an arch shape, Hope can conclude that there is an association between the variables. However, because the relationship is not linear, there is no correlation. The pattern shows that as one variable changes, the other variable changes in the same way. This does not imply that a change in one variable causes the change in the other variable to happen. Hope cannot conclude that there is a causal relationship.

The number of grams of zero-calorie sodium in a restaurant meal is compared to the total number of calories in the meal. The correlation coefficient relating the two variables is 0.74. Which best describes the strength of the correlation, and what is true about the causation between sodium and the number of calories in this meal? It is a weak positive correlation, and it is not likely causal. It is a weak positive correlation, and it is likely causal. It is a strong positive correlation,and it is not likely causal. It is a strong positive correlation, and it is likely causal.

It is a strong positive correlation,and it is not likely causal.

The number of times a player has golfed in one's lifetime is compared to the number of strokes it takes the player to complete 18 holes. The correlation coefficient relating the two variables is -0.26. Which best describes the strength of the correlation, and what is true about the causation between the variables? It is a weak negative correlation, and it is not likely causal. It is a weak negative correlation, and it is likely causal. It is a strong negative correlation, and it is not likely causal. It is a strong negative correlation, and it is likely causal.

It is a weak negative correlation, and it is likely causal.

Four students in Ms. Alton's class shared the correlation coefficients derived from their data as follows: Student A: r = -0.87 Student B: r = -0.78 Student C: r = 0.79 Student D: r = 0.86 Whose data had the strongest correlation? Student A Student B Student C Student D

Student A

Which relationships would most likely be causal? Check all that apply. a positive correlation between time spent exercising and the number of calories burned a negative correlation between temperature and coat sales a positive correlation between time spent practicing free throws and free throw percentage a positive correlation between time spent on the phone with friends and the number of friends a negative correlation between temperature and the number of speeding tickets

a positive correlation between time spent exercising and the number of calories burned a negative correlation between temperature and coat sales a positive correlation between time spent practicing free throws and free throw percentage

The table shows the shipping costs for items of different values. A 2-column table with 4 rows. The first column is labeled total cost of items (in dollars) with entries 25, 45, 50, 70. The second column is labeled shipping costs (in dollars) with entries 5.99, 8.99, 8.99, 10.99. Which best describes the strength of the model? a weak positive correlation a strong positive correlation a weak negative correlation a strong negative correlation

a strong positive correlation

Which best describes the strength of a model with an r-value of 0.29? a weak positive correlation a strong positive correlation a weak negative correlation a strong negative correlation

a weak positive correlation

Over five different weeks, Irina tracked the hours she spent exercising and the hours she spent playing video games. What is the strength of the correlation between the hours spent exercising and the hours spent playing video games? weak negative correlation moderate negative correlation weak positive correlation moderate positive correlation

moderate negative correlation

Brett's teacher observed Brett's behavior in class for a week and compared the minutes he stayed on task in class to the grade he earned on the homework that night. She found that the correlation coefficient was r = 0.97. What type of relationship has his teacher discovered? positive correlation, likely causal positive correlation, not likely causal negative correlation, likely causal negative correlation, not likely causal

positive correlation, likely causal

Which correlation coefficient represents a moderate negative correlation? r = -0.04 r = -0.24 r = -0.64 r = -0.94

r = -0.64

Which describes the correlation shown? weak positive moderate positive strong positive perfect positive

strong positive

Michael surveyed the basketball team and found a positive correlation of r = 0.12 between students missing games due to academic probation and spikes in the team's scoring average. He concluded that students with poor grades did not score as many points as those with good grades, and the students with poor grades caused the team to score fewer points while on the court. Michael does not have a good argument because the information he used shows a _______ correlation, which does not imply ______

weak a causation between variables