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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