True/False
Indicate whether the
statement is true or false.
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1.
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A greater value of r indicates a stronger correlation.
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2.
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The sign of r tells us whether the best fit line slopes upwards or
downwards.
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3.
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A value of r = 0 shows that there is no correlation between the
variables.
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4.
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For correlation analysis it doesn’t matter which variable we call x
and which we call y.
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5.
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Finding a strong positive correlation shows that one variable affects the
other.
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6.
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To find the correlation coefficient we need to sort the data values into
order.
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7.
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If a fertiliser is thought to increase crop yield, then we’d expect the
correlation between the amount of fertilizer used and the amount of crop harvested to be
positive.
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8.
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If we have only two data points then the correlation coefficient will be 1 or
-1.
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9.
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 .
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10.
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If we have the data points {(1, 2), (3, 5), (6, 4), (8, 4)} then the correlation
coefficient is about 0.469.
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