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?
A) 0.92 represents the strongest correlation. A correlation value r will always be between -1 and 1. The sign (+ or -) represents the direction, while the numerical value represents the strength of the relationship between the two variables.
Which R 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 is most likely the correlation coefficient?
0.19 is most likely the correlation coefficient for the set of data shown. Step-by-step explanation: A correlation coefficient is a measure of how well the line of best fit fits the data. The higher the correlation coefficient, up to 1.0 or -1.0, the better the fit.
For which scatterplot is the correlation strongest?
As compare to other scatterplots, scatterplot 3 indicates that most of the data points form a straight line or lies close to the straight line, hence this scatterplot represents the strongest linear correlation.
Which of the following R values is the strongest?
0.65 is the r-value that represents the strongest correlation.
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.
What is a perfect positive correlation?
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. ... A positive correlation does not guarantee growth or benefit.
Is a weak negative correlation?
In general, -1.0 to -0.70 suggests a strong negative correlation, -0.50 a moderate negative relationship, and -0.30 a weak correlation.
How do you interpret a negative Pearson correlation?
Negative Correlation
A negative (inverse) correlation occurs when the correlation coefficient is less than 0 . This is an indication that both variables move in the opposite direction. In short, any reading between 0 and -1 means that the two securities move in opposite directions.
Which are value represents the weakest correlation?
(a) -0.15 represents the weakest correlation.
Which R value represents the strongest negative correlation quizlet?
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.
What are the 3 types of correlation?
- A correlation refers to a relationship between two variables. ...
- There are three possible outcomes of a correlation study: a positive correlation, a negative correlation, or no correlation. ...
- Correlational studies are a type of research often used in psychology, as well as other fields like medicine.
Is a correlation of 0.5 strong?
Correlation coefficients whose magnitude are between 0.7 and 0.9 indicate variables which can be considered highly correlated. ... Correlation coefficients whose magnitude are between 0.3 and 0.5 indicate variables which have a low correlation .
What is an example of a weak correlation?
In technology fields, the correlation between variables might need to be much higher to even be considered “weak.” For example, if a company creates a self-driving car and the correlation between the car’s turning decisions and the probability of avoiding a wreck is r = 0.95 , this may be considered a “weak” correlation ...
