# 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

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## Which best describes the strength of a model with

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## 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

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### Gauthmathier5429

Grade 12 · 2021-06-24

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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

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### Gauthmathier1165

Grade 12 · 2021-06-24

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## Strength of Correlation Assignment and Quiz 100% Flashcards

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## Strength of Correlation Assignment and Quiz 100%

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Which correlation coefficient represents a moderate negative correlation?

r = -0.04 r = -0.24 r = -0.64 r = -0.94

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r = -0.64

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Which describes the correlation shown?

weak positive moderate positive strong positive perfect positive

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strong positive

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1/19 Created by claudialems_

### Terms in this set (19)

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

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

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

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

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

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 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

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 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.

Which r-value represents the weakest correlation?

-0.75 -0.27 0.11 0.54 0.11

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

## Which best describes the strength of a model with an R value?

Which best describes the strength of a model with an R value? The correct answer to the question that is being presented above would be the fourth statement. The fourth choice which is ‘a strong negative correlation’ is what best describes the strength of the model with an r-value of –0.93. Which R value represents …

Which best describes the strength of a model with an R value? Read More »

## WHICH BEST DESCRIBES THE STRENGTH OF A MODEL WITH AN R VALUE?

Queries / July 27, 2021

**Which best describes the strength of a model with an R value? The correct answer to the question that is being presented above would be the fourth statement. The fourth choice which is ‘a strong negative correlation’ is what best describes the strength of the model with an r-value of –0.93.**

**Which R value represents the strongest correlation Brainly?**0.65 is the r-value that represents the strongest correlation.

**Which is most likely the correlation for the set of data shown?**0.19 is most likely the correlation coefficient for the set of data shown.

**Which are value represents the strongest negative correlation?**When the r value is closer to +1 or -1, it indicates that there is a stronger linear relationship between the two variables. A correlation of -0.97 is a strong negative correlation while a correlation of 0.10 would be a weak positive correlation.

## Which best describes the strength of a model with an R value? – Related Questions

### Which of the following R values indicate the strongest correlation?

The strongest correlations (r ‘=’ 1.0 and r ‘=’ -1.0 ) occur when data points fall exactly on a straight line. The correlation becomes weaker as the data points become more scattered.

### Which of the following R values shows the strongest correlation between two variables?

Answer: -0.85 (Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others.

### Which best describes the strength of a model with an R value of 0.29 quizlet?

So the closer the correlation is to 1/-1, the stronger the correlation is. Since 0.29 is closer to zero than 1, it is a weaker correlation. And since its positive, its a positive correlation. In short, 0.29 is a weak positive correlation.

### Which are value represents the weakest correlation?

(a) -0.15 represents the weakest correlation.

### Which best describes the strength of the correlation and what is true?

Which best describes the strength of the correlation, and what is true about the causation between the variables? It is a strong negative correlation, and it is not likely causal.

### What is an example of zero correlation?

A zero correlation exists when there is no relationship between two variables. For example there is no relationship between the amount of tea drunk and level of intelligence.

### What does it mean if correlation is 0?

If the correlation coefficient of two variables is zero, there is no linear relationship between the variables. This means that there is no correlation, or relationship, between the two variables.

### Which of the following correlation values is the strongest?

The values of the correlation coefficient between -0.5 to -1.0 are considered as the strong correlation coefficients. Hence, -0.87 is the strongest correlation coefficient value among the given values.

### What is r on the calculator?

Find the Correlation Coefficient r on Your Calculator (TI83/ 84) The correlation coefficient is very useful for understanding how strong the linear relationship is between two variables.

### What values can the correlation coefficient have?

The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. The values range between -1.0 and 1.0. A calculated number greater than 1.0 or less than -1.0 means that there was an error in the correlation measurement.

### What is an example of correlation coefficient in psychology?

The example of ice cream and crime rates is a positive correlation because both variables increase when temperatures are warmer. Other examples of positive correlations are the relationship between an individual’s height and weight or the relationship between a person’s age and number of wrinkles.

### What does a perfect positive correlation mean?

A perfectly positive correlation means that 100% of the time, the variables in question move together by the exact same percentage and direction. A positive correlation can be seen between the demand for a product and the product’s associated price.

### What is correlation coefficient in psychology?

The Pearson product-moment correlation coefficient is a statistic that is used to estimate the degree of linear relationship between two variables. It is a numerical estimate of both the strength of the linear relationship and the direction of the relationship.

### What is the correlation coefficient What is the strength of the model?

A correlation coefficient measures the strength of that relationship. Calculating a Pearson correlation coefficient requires the assumption that the relationship between the two variables is linear. The relationship between two variables is generally considered strong when their r value is larger than 0.7.

### How do we determine the strength of a correlation quizlet?

A correlation also measures the “strength” of the relationship between X and Y. A correlation will have a value between -1 and +1. A correlation of 0 means that there is no relationship. A +1 means that there is a positive “perfect correlation” between two, and a -1 means that there is a negative perfect correlation.

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