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After the data is collected and graphed, it will be in a line virtually straight. You can then form a relationship using the basic linear formula and see if it is close enough to be acceptable.

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What is an example of two variables that would be positively correlated and two variables that could be negatively correlated?

False. Correlation coefficient as denoted by r, ranges from -1 to 1. Coefficient of determination, or r squared ranges from 0 to 1. I note that x,y data points that have a high negative correlation would plot with a negative trend or a negatively sloped line if a best fit regression line is determined. I note also that x,y data points with a high positive correlation would plot with a positive trend or positively sloped line if a best fit regression line is determined. The coefficient of determination for r = 0.9 and r= -0.9 would be 0.81.


When two variables are found to be unrelated the correlation coefficient would be?

Zero.


When would you choose a line graph to present data?

When i am showing changes that occur in related variables


What is shown on a y-axis on a figure?

If there is one independent variable, and one or more dependent variables, then they would be plotted on the y-axis. If there are a mix of discrete and continuous variables, then the continuous variables should be plotted on the y-axis. In general, though, any variable can be plotted on the y-axis.


When building a line-graph a person would place the what on the x-axis?

If one of the variables was independent or if there was a causal relationship between the two variables, then that variable would be placed on the x-axis. If there were no independent variable but one of them was discrete then that would usually be on the x-axis. Otherwise, any variable could be placed on the x-axis.

Related Questions

What is an example of two variables that would be positively correlated and two variables that could be negatively correlated?

False. Correlation coefficient as denoted by r, ranges from -1 to 1. Coefficient of determination, or r squared ranges from 0 to 1. I note that x,y data points that have a high negative correlation would plot with a negative trend or a negatively sloped line if a best fit regression line is determined. I note also that x,y data points with a high positive correlation would plot with a positive trend or positively sloped line if a best fit regression line is determined. The coefficient of determination for r = 0.9 and r= -0.9 would be 0.81.


If psychologist discovered that wealthy people are less satisfied with their marriages than poor people are this would indicate that wealth and marital satisfation are?

positively correlated


If college graduates typically earn more money than high school graduates this would indicate that level of education and income are?

Positively Correlated


What are examples of two variables that are likely to be correlated because they are both changing over time -?

Velocity and distance of an accelerating object would be one example.


When would you use 2sls instead of ils?

Two-stage least squares (2SLS) is used instead of ordinary least squares (OLS) when there is concern about endogeneity in the regression model, such as when an independent variable is correlated with the error term. This typically arises in the presence of omitted variable bias, measurement error, or simultaneous causality. 2SLS helps to provide consistent estimators by using instrumental variables that are correlated with the endogenous explanatory variables but uncorrelated with the error term. In contrast, OLS is appropriate when all variables are exogenous and there are no such concerns.


How do you use 'to discriminate positively' in a sentence?

I would often become quite aggravated when he would attempt to discriminate positively.


If two attributes have values that decrease at essentially the same rate is that a negative correlation?

No, if two attributes have values that decrease at essentially the same rate, that indicates a positive correlation. A negative correlation would suggest that as one attribute decreases, the other increases. In this case, since both attributes are decreasing together, their relationship is positively correlated.


Would the lithium atom be positively charged if the bromine atom were to attract electron from lithium?

Positively (apex)


Is it better to live with linear growth or exponential growth?

The answer depends on what it is that is growing. I would rather have the number of my enemies growing linearly and my friends exponentially.


What would you use if you did not have numbers?

Variables.


What is Linearly independent Vectors?

Linearly independent vectors are a set of vectors in which no vector can be expressed as a linear combination of the others. This means that the only solution to the equation formed by setting a linear combination of these vectors to zero is that all coefficients must be zero. In other words, if you have a collection of linearly independent vectors, removing any one of them would alter the span of the set. This concept is fundamental in linear algebra, particularly in determining the dimensionality of vector spaces.


Can continuous variables assume a limited number of values between any 2 specific values?

Yes, if you have two limiting variables with other possibles variables between them, the variables between the limiting variables would be continuous.

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