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How does the pattern of a change for a linear relationship show up in a table graph and an equation of the relationship?
you put in what x is and solve it for y! thats the answer!
How does the pattern of change between two variables ina linear relationship show up in A contextual situation?
The answer requires the relevant context to be given.
How does a linear relationship show up in a graph?
A linear relationship will show up on a graph as a straight line.
How does a linear relationship show up in a equation?
y=mx+b
How does the pattern of change between two variables in a linear relationship show up in a contextual relationship?
One variable is a multiple of the other. One context would be the cost of buying tins of baked beans - with no discount for large purchases. In the cost of one tin is x units then the cost of b tins will by b*x units.
How can you tell whether a linear function can be used to model a real life relationship?
You can create a scatter plot of the two variables. This may tell you if there is a relationship and, if so, whether or not it is linear. If there seems to be a linear relationship, you can carry out a linear regression. Note that the absence of a linear relationship does not mean that there is no relationship. The coordinates of the points on a circle do not show a linear relationship: the correlation coefficient is zero but there is a perfect and simple relationship between the abscissa and the ordinate. Even if there is evidence of a linear relationship, it may be valid only within the range of observations: do not extrapolate. For example, the increase in temperature of a body is linearly related to the amount of heat energy aded. However, for a solid, there will come a stage when the additional heat will not increase the temperature but will be used to melt (or sublimate) the solid. So the linear relationship will be broken.
How do you make single relationship change show up in my news feed on facebook?
Go to your relationship status, and change the status to public or custom.
What do line plots measure?
Usually all they do is show the values of two continuous variables for a set of values. There may or may not be a relationship between the two variables. If there is, it may or may not be a causal relationship. It does not have to be a linear relationship or even a relationship that maintains its characteristic.
What do you use when looking for a mathematical relationship between two variables?
The first step is to do a scatter plot. This will show if there is any relationship at all and, if there is, whether that relationship is linear or non linear, whether it remains the same throughout the domain or changes. As an example of the latter, think of the age and height of someone. The height starts off with birth height, grows quite rapidly for a few years, slows down pre-puberty, accelerates during puberty and then levels off. A very messy pattern. If there is a simple non-linear relationship you can try transforming one (or both) of the variables, and redraw the scatter plot. You can then try correlation or regression.
What does non linear graph show?
"Dose" is a measured portion of a medicine. So a non linear graph could show the quantity of medication that is needed for different conditions. The condition may be the age of the patient, their mass, severity of illness. "Non-linear" means that the graph is not a straight line: the same change in the independent variable does not lead to the same change in the dosage.
What does line graph show?
Line graphs show the relationship between the change in one variable to the change in another. (change) On a computer, a line graph shows lots of pixels.
What does it means The strength and direction of a linear relationship between two variables?
The direction of a linear relationship is positive when the two variables increase together and decrease together. The direction is negative if an increase in one variable is accompanied by a decrease in the other. The strength of the relationship tells you, in the context of a scatter plot of the two variables, how close the observations are to the line representing the linear relationship. There are various very closely related measures: regression coefficient or product moment correlation coefficient (PMCC) are commonly used. These can take any value between -1 and +1. A value of -1 represents a perfect negative relationship, +1 represents a perfect positive relationship. A value of 0 represents no linear relationship (there may be a non-linear one, though). Values near -1 or +1 are said show a strong linear relationship, values near 0 a weak one. There is no universal rule about when a relation goes from being strong to moderate to none.
