A linear equation looks like any other equation. It is made up of two expressions set equal to each other. A linear equation is special because: It has one or two variables. No variable in a linear equation is raised to a power greater than 1 or used as the denominator of a fraction. When you find pairs of values that make the linear equation true and plot those pairs on a coordinate grid, all of the points for any one equation lie on the same line. Linear equations graph as straight lines.
A linear relationship will show up on a graph as a straight line.
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.
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.
how can I show how numbers are related to each other
Line graph is used to show relationship between two variables.
A linear relationship will show up on a graph as a straight line.
In geometry, a linear relationship is represented as a straight line.
y=mx+b
you put in what x is and solve it for y! thats the answer!
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.
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.
The answer requires the relevant context to be given.
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.
Well, take a bird's eye view of people having sex.. then show it to your girlfriend, and note her response.
you can show him that you care by letting him know that you are there for him and that you are devoted to the relationship like he is dont let him fully lead the relationship take some responsibility too
It means he is shy and confused that he doesn't know what to do with love or even in a relationship.
They have flirted and the show has implied that they had some type of relationship- but it is unclear what it was, and as far as I know they are just friends now. I think the show likes you to wonder what will happen with them.