that they will not be correct
When no possible relationship between the two variables in question is statistically significant.
Usually the expression is employed in the context of the relationship between a dependent variable and another variable. The latter may or may not be independent: often it is time but that is not necessary. In some cases there is some indication that that there is a linear relationship between the two variables and that relationship is referred to as a trend.Note that a trend is not the same as causation. There may appear to be a strong linear trend between two variables but the variables may not be directly related at all: they may both be related to a third variable. Also, the absence of linear trends does not imply that the variables are unrelated: there may be non-linear relationships.
Directly proportional means that both variables increase or decrease at the same time.
both, variables can be anything
they're similar because the both of them trend and trend means to increase or decrease
Specify what you mean by "trend". The correlation remains the same. Specify what you mean by "increase". Multiplying will result in a difference in variance, addition will not.
The trend for first ionization energy
that they will not be correct
that they will not be correct
If the slope of the trend line between variables X and Y is m, then an increase in value of 1 unit in X is associated with an increase of m units in the value of Y. The relationship is one of association, not of cause-and-effect.
Electronegativity and first ionization energy both increase as you move up the periodic table
Electronegativity and first ionization energy both increase going up the Periodic Table.
Electronegativity and first ionization energy both increase going up the Periodic Table.
When no possible relationship between the two variables in question is statistically significant.
A trend is a math term. It is on a line graph. It is a slope between two variables.
Usually the expression is employed in the context of the relationship between a dependent variable and another variable. The latter may or may not be independent: often it is time but that is not necessary. In some cases there is some indication that that there is a linear relationship between the two variables and that relationship is referred to as a trend.Note that a trend is not the same as causation. There may appear to be a strong linear trend between two variables but the variables may not be directly related at all: they may both be related to a third variable. Also, the absence of linear trends does not imply that the variables are unrelated: there may be non-linear relationships.