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Hi john sir, John sir plz explain the following statement.
‘Positive correlation means that the low values of one variable are associated with low values of other, and high values of one variable are associated with high values of other.’
‘Negative correlation means that low values of one variable are associated with high values of other, and high values of one variable are associated with low values of other.’
Have you watched my lecture on this?
What it means is that when there is positive correlation then as one variable increases then so does the other. (So, for example, you would expect higher advertising expenditure to result in higher sales.)
When there is negative correlation, it means that as one variable increases then the other decreases (So, for example, as the temperature of the earth gets higher you would expect that the amount of ice would get lower.)
Thanx John sir, got it. No john sir, there is some problem in my internet connection, it is often disconected, like in a minute several times, so it is tough now a days. But i got it. thanx
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