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If Y increases as X increases, you are referring to a positive correlation. However, if Y falls as X increses, you have a negative correlation.

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When paired data tend to increase togetherit has a what association?

When paired data tend to increase together, it has a positive association. This means that as one variable increases, the other variable also increases, indicating a direct relationship between the two. Positive associations are often represented visually in scatter plots as points that trend upward from left to right.


What is a graph used to determine whether there is a relationship or trend between paired data?

A scatter plot is commonly used to determine whether there is a relationship or trend between paired data. In a scatter plot, individual data points are plotted on a two-dimensional axis, with one variable represented on each axis. By observing the pattern of points, one can discern if there is a correlation, trend, or relationship between the variables. A clear pattern, such as a line or curve, indicates a potential relationship, while a random distribution suggests no significant correlation.


What is the chart called when the paired data (the dependent and independent variables) are plotted?

scatter diagram


What is the chart called when the paired data the dependent and independent variables are plotted?

scatter diagram


Which human activity is correctly paired with the greenhouse gas that it increases?

Burning fossil fuels for energy is correctly paired with the increase of carbon dioxide (CO2) in the atmosphere. This activity releases CO2 as a byproduct of combustion, contributing significantly to the greenhouse effect and climate change. Other activities, such as agriculture, can increase methane (CH4) emissions due to livestock digestion and rice cultivation.


What is the correlation coefficient symbol?

The answer is r.Actually 'r' is the usual symbol for the correlation coefficient statistic calculated for a sampleof paired values. The correlation coefficient for a population of pairs of random variables distributed according to a binomial normal distribution is usually denoted by the Greek letter 'rho'.


What increases the likelihood of adolescent drug use when paired with behavioral problems?

Poverty


What is full fashion knitting?

Full fashion knitting means increases and decreases are paired opposites. For each increase or decrease that leans to the left, there is a matching one that leans to the right. Increases and decreases must be matched in things like shaping the bust to avoid adding bias to the garment, and to make a pleasantly balanced appearance.


What is illusory correlation?

Illusory correlation refers to the perception of a relationship between two variables that does not actually exist. This can occur when rare events are paired together in a person's mind, leading to the mistaken belief that there is a causal connection between them. In reality, the correlation is just a product of coincidence or bias.


What is a bivariate fit?

A bivariate fit is a correlation analysis in statistics. Basically you have 2 sets of paired data and want to know if they statistically correlated. You graph the pairs, as X,Y and make a linear regression line between the points. The slope of the line is the correlation coeffiencint, the closer the line is to a 45 degree angle the more likely your data is dependent on one another. if the line is flat then there is no correlation.


What is a scatter chart?

It is a chart that plots the relationship between two paired sets of data, plotting one set of data from each pair on the horizontal (X) axis, and the second set of data from each pair on the vertical (Y) axis.An example of a paired set of data you could plot using a scatter chart could be the average frequency a couple has sex relative to how many years the couple have been in a relationship.A scatter chart can show the points by themselves or link them with lines, either straight or curved lines. This enables different kinds of charts to be shown, like bell curves or sine waves for example.


Why paired t-test is more powerful than independent two-sample t-test?

The paired t-test is more powerful than the independent two-sample t-test because it accounts for the correlation between paired observations, reducing the variability and increasing the sensitivity to detect differences. In a paired design, each subject serves as their own control, which minimizes the effect of individual differences that can obscure the treatment effect. This design allows for a more precise estimate of the treatment effect, leading to a higher statistical power for detecting significant differences.