Strength of Correlations

The _________________ ____________________ measures the strength of the relationship between 2 variables.

• Correlation Coeffiecient
• Causation
• Independent Variable

The correlation coefficient, r, is always between ___ and ___.

• 0 and 1
• -1 and 1 
• -1 and 0

Describe the correlation in the graph shown.

• Strong Negative
• Weak Positive
• Weak Negative

Describe the correlation in the graph shown.

• Strong Negative
• Strong Positive
• Weak Negative

Describe the correlation in the graph shown.

• Weak Negative

• Weak Positive

• Strong Positive

Estimate the value of r:

• 0.03
• -0.99
• 0.79
• -0.72

Estimate the value of r:

• -0.36
• -0.83
• 0.99
• 0.65

Estimate the value of r:

• -0.93
• 0.85
• 0.12

The correlation between two variables is r=0.5. Which statement is true?

• Average values of y changes by 0.5 when x is increased by 1.

• Average values of x changes by 0.5 when y is increased by 1.

• x explains 25% of the variation in y.

• y explains 25% of the variation in x.

Answer explanation

The variation in y can be explained by the variation in x.

If the coefficient of determination is 0.876, what percent of the variation is explained?

• 56%

• 88%

• -67%

• 92%