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.
Neither the 'x' nor the 'y' component should have any exponents (squared, cubed, square root, etc.) and therefore it should be a one-to-one ratio (each 'x' has one 'y' value and vice versa).
I'm not sure how you managed to get your equation into a table form. So perhaps try multiply each pronumeral by an exponential of the index of the third pronumeral cow
You can easily tell by substituting 0 for a.
please, tell me the dimensions of the table and than i am able to tell the area of the table. parveen mor, ISBS,PUNE
By definition, if you graph the relationship between two variables and the result is a straight line (of whatever slope) that is a linear relationship. If it is a curve, rather than a straight line, then it is not linear.
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.
It tells you that if there were a linear relationship between the two variables, what that relationship would look like and also how much the observations differed from that linear fit.
The graph of a proportional relationship has the same unit rate, is a straight line, and starts at the origin.
The graph must be linear and pass thru the origin
If it is in a y=mx+b format. Also, if there is a slope and a constant in the equation.
i dont know u tell me
Neither the 'x' nor the 'y' component should have any exponents (squared, cubed, square root, etc.) and therefore it should be a one-to-one ratio (each 'x' has one 'y' value and vice versa).
I'm not sure how you managed to get your equation into a table form. So perhaps try multiply each pronumeral by an exponential of the index of the third pronumeral cow
The atomic number represents the number of protons. The atomic mass represents the number of protons + neutrons.
No. Just don't participate. Telling your cousin will only hurt your relationship with him.
tell table of 2