Define and distinguish among positive correlation, negative correlation, and no correlation. Give an example of each type of correlation. B. Positive correlation means that two variables tend to change in opposite directions, with one increasing while the other decreases. An example might be age and vision. be the diameter of a circle and its circumference. Dositive correlation means that both variables tend to increase (or decrease) together. An example might be shoe size and height. might be hair color and weight. Define negative correlation. Choose the correct answer below. A. Negative correlation means that both variables tend to increase (or decrease) together. An example might be shoe size and height.
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Bonus Knowledge
Positive correlation means that both variables move in the same direction—when one increases, the other does too! A classic example is height and shoe size; generally, taller individuals tend to have larger feet. On the flip side, negative correlation shows that as one variable increases, the other decreases. For instance, the amount of gas in your tank and the distance you can drive create a negative correlation: as you drive further, your gas level decreases. No correlation indicates no discernible relationship between the two variables, like the color of your shirt and the number of shoes you own; there's simply no connection! To avoid common misconceptions, it's essential to remember that correlation does not imply causation! Just because two things seem linked doesn’t mean one causes the other. For instance, ice cream sales and drowning rates may rise together in summer, but that doesn’t mean buying ice cream causes drowning incidents! Always analyze the context behind the data and look for other factors that might play a role.
