0, within statistical error.
A correlation coefficient cannot exceed 1.
No! Correlation by itself is not sufficient to infer or prove causation.
The coefficient of nondetermination is found by 1.00-r squared so 1.00-0.35X0.35 1.00-0.1225 0.8772 round it to 0.88
They equal a minus and two +'s or two -'s equal a + :)
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
A correlation coefficient of 1 (r=1) is a perfect positive correlation.
Positive Correlation
A correlation coefficient cannot exceed 1.
1.
No, r is a coefficient.
No! Correlation by itself is not sufficient to infer or prove causation.
the correlation coefficient range is -1 to +1
The coefficient of nondetermination is found by 1.00-r squared so 1.00-0.35X0.35 1.00-0.1225 0.8772 round it to 0.88
a strong negative correlation* * * * *No it is not. It is a very weak positive correlation.
A correlation of .12 is considered weak in social sciences. It suggests that there is a very minor relationship between the variables being studied. Strong correlations are typically closer to 1 or -1.
The stronger correlation will be the one whose absolute value is closest to one. For example, r = -.78 is stronger than r=.65, because: |r| = |-.78| = .78 > |r| = |.65| = .65
In science, the symbol "r" typically refers to the correlation coefficient, which measures the strength and direction of a relationship between two variables. It ranges from -1 to 1, where 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation.