0
What else can I help you with?
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.
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.
How do you use 'to discriminate positively' in a sentence?
I would often become quite aggravated when he would attempt to discriminate positively.
Would the lithium atom be positively charged if the bromine atom were to attract electron from lithium?
Positively (apex)
What would you use if you did not have numbers?
Variables.
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.
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.
If a bromine atom were to attract an extra electrons from potassium the potassium atom would become charged?
The potassium atom would become positively charged - or a cation.
What object repels a positively charged object?
Another positively charged object would repel a positively charged object. This is because objects with like charges repel each other due to the principles of electrostatic force.
What are constant variables and y r they important in an experiment?
. Constant variables are variables which cannot be changed with the experiment. To remember their name is easy just think about Constance. They are important to an experiment because without all three variables there would be no complete experiment. Also the constant variables are important to an experiment because they help complete the result. Without a constant variable you. Would not be testing correctly
