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 …
