Best Answer

First assume that the relationship is linear rather than the table. If the table is linear but the relationship is non-linear it is a very different and very difficult task. Suppose, next, that you have two sets of values: inputs (x) and outputs (y). Also, you must have at least two rows of data for different inputs.

So, given that there at at least two sets of data, suppose they are as follows:

x1 gets mapped to y1

and

x2 gets mapped to y2

Then calculate m = (y2-y1)/(x2-x1)

and c = y - mx for any x-y combination from the table.

The rule is y = mx + c.

First assume that the relationship is linear rather than the table. If the table is linear but the relationship is non-linear it is a very different and very difficult task. Suppose, next, that you have two sets of values: inputs (x) and outputs (y). Also, you must have at least two rows of data for different inputs.

So, given that there at at least two sets of data, suppose they are as follows:

x1 gets mapped to y1

and

x2 gets mapped to y2

Then calculate m = (y2-y1)/(x2-x1)

and c = y - mx for any x-y combination from the table.

The rule is y = mx + c.

First assume that the relationship is linear rather than the table. If the table is linear but the relationship is non-linear it is a very different and very difficult task. Suppose, next, that you have two sets of values: inputs (x) and outputs (y). Also, you must have at least two rows of data for different inputs.

So, given that there at at least two sets of data, suppose they are as follows:

x1 gets mapped to y1

and

x2 gets mapped to y2

Then calculate m = (y2-y1)/(x2-x1)

and c = y - mx for any x-y combination from the table.

The rule is y = mx + c.

First assume that the relationship is linear rather than the table. If the table is linear but the relationship is non-linear it is a very different and very difficult task. Suppose, next, that you have two sets of values: inputs (x) and outputs (y). Also, you must have at least two rows of data for different inputs.

So, given that there at at least two sets of data, suppose they are as follows:

x1 gets mapped to y1

and

x2 gets mapped to y2

Then calculate m = (y2-y1)/(x2-x1)

and c = y - mx for any x-y combination from the table.

The rule is y = mx + c.

More answers

First assume that the relationship is linear rather than the table. If the table is linear but the relationship is non-linear it is a very different and very difficult task. Suppose, next, that you have two sets of values: inputs (x) and outputs (y). Also, you must have at least two rows of data for different inputs.

So, given that there at at least two sets of data, suppose they are as follows:

x1 gets mapped to y1

and

x2 gets mapped to y2

Then calculate m = (y2-y1)/(x2-x1)

and c = y - mx for any x-y combination from the table.

The rule is y = mx + c.

Q: How do you find the rule in a linear table of values?

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rule, table of values and graph

For each rule draw a table with 5 rows and 2 columns. At the top of each table write a caption denoting which rule applies to that particular table. In the top row of each table write the letter "X" in the first column and the letter "Y" in the second column. Now for each table in the first column in rows 2,3,4, and 5 write the values of X that apply to the experiment. Now apply the rule for each value of X for a particular table (particular rule) and write the value of Y (obtained by observation or calculation) in the corresponding column

Cramer's Rule is a method for using Matrix manipulation to find solutions to sets of Linear equations.

If the domain is infinite, it is not possible to list the function.

In math, the purpose of Cramer's rule is to be able to find the solution of a system of linear equations by using determinants and matrices. Cramer's rule makes it easy to find a system of equations that have many unknown variables.

Related questions

A table of values is no use if the domain is infinite.

Linear prediction is a mathematical operation on future values of an estimated discrete time signal. Its rule is to predict the output by using the given inputs.

rule, table of values and graph

For each rule draw a table with 5 rows and 2 columns. At the top of each table write a caption denoting which rule applies to that particular table. In the top row of each table write the letter "X" in the first column and the letter "Y" in the second column. Now for each table in the first column in rows 2,3,4, and 5 write the values of X that apply to the experiment. Now apply the rule for each value of X for a particular table (particular rule) and write the value of Y (obtained by observation or calculation) in the corresponding column

6 3

Cramer's Rule is a method for using Matrix manipulation to find solutions to sets of Linear equations.

online

The answer will depend on the data values: there is no rule that fits all situations.

y=ax+b a=slope b=y intercept

If the domain is infinite, it is not possible to list the function.

In math, the purpose of Cramer's rule is to be able to find the solution of a system of linear equations by using determinants and matrices. Cramer's rule makes it easy to find a system of equations that have many unknown variables.

table of 8 or multiply by 2