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If two sets of data are correlated, this means that: one set causes the other to happen.
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Explanation:
Correlation indicates a relationship between two or more variables, but this relationship does not suggest cause and effect. When two sets of data are correlated, it means that as one variable changes, the other variable also changes.
The correlation can be measured by calculating a statistic called as correlation coefficient. The number from -1 to +1 indicates the strength and direction of the relationship between variables. The correlation coefficient is denoted by the letter r.
How fast a car goes is known as its speed.
Speed = (distance covered) divided by (time to cover the distance)
It has nothing to do with the direction the car is going.
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The car's velocity is its speed AND the direction it's going.
30 miles per hour . . . speed
40 miles per hour north . . . velocity
20 miles per hour south
20 miles per hour west . . . . . same speed, different velocity
-- 'Velocity' is NOT a big word that you use when you mean
'speed' but you want to sound smarter. It's a different thing.
-- If you don't know anything about the direction the car is going,
then you can't say anything about its velocity.
-- If the car is going around a curve, then its velocity is constantly
changing, even if its speed is constant.
Freeze wedging<span> is caused by the repeated freeze-thaw. </span>Frost wedging<span> occurs as the result of 9 % expansion of water when it is converted to ice. Cracks filled with water are forced further apart when it freezes. cycle.</span>
