Excel Interpolate Table

Excel Interpolate Function If you are building a worksheet, then create the columns with values that will correspond to an x-axis and a y-axis. For example, if you want to forecast the target revenues, you can interpolate this data as long as you have some basic data points. Interpolation and Extrapolation in Excel This trick will save you time to do interpolation and extrapolation out from a table in Excel.

• Excel Interpolate Table
• Excel Table Interpolation Formula

The Spearman's Rho Table shows a critical value of .447 for alpha = .05 and n = 20 and .522 for alpha = .02 and n = 20, so what value should we use when alpha = .025 and n = 20?

We will consider three approaches: linear interpolation, logarithmic interpolation and harmonic interpolation.

Excel Interpolate Table

Linear Interpolation

With linear interpolation, the value we are looking for is calculated by Aams mastering software keygen crack serial.

which can also be calculated using the Real Statistics formula

=INTERPOLATE(.025,.02,.05,.522,.447,0)

Here the 0 argument indicates that linear interpolation is being used.

Logarithmic Interpolation

With logarithmic interpolation, the value we are looking for is calculated by

which can also be calculated using the Real Statistics formula

Excel Table Interpolation Formula

=INTERPOLATE(.025,.02,.05,.522,.447,1)

Here the 1 argument indicates that log interpolation is being used. This is the default value for the INTERPOLATE function.

This is the preferred type of interpolation for the alpha argument. It is occasionally useful for the sample size argument n and the number of variables k.

Harmonic Interpolation

With harmonic interpolation, the value we are looking for is calculated by

which can also be calculated using the Real Statistics formula

=INTERPOLATE(.025,.02,.05,.522,.447,2)

Here the 2 argument indicates that harmonic interpolation is being used.

This is generally the preferred type of interpolation for the number of variables k, degrees of freedom df and sample size n.

Table Lookup Functions

The type of interpolation in the calculations of the following functions is specified by the final argument (denoted interp): RhoCRIT, TauCRIT, MCRIT, WCRIT, DCRIT, LCRIT, KSCRIT, KS2CRIT, ADCRIT, QCRIT, DLowerCRIT, DUpperCRIT and SRankCRIT. interp can take the value FALSE for linear interpolation or TRUE (default) for the recommended type of interpolation.

The recommended type of interpolation is log for alpha and harmonic for df. Generally, harmonic interpolation is used for n and k, although in some situations log interpolation is used instead. Only occasionally is linear interpolation the recommended type of interpolation

RhoCRIT(20,.025,2,TRUE) = .5037 RhoCRIT(20,.025,2,FALSE) = .5095

Click here to download the Linear Interpolation Extrapolation Template with Chart (Free template with full functionality)

Wikipedia definition: In mathematics, linear interpolation is a method of curve fitting using linear polynomials. For more info: http://en.wikipedia.org/wiki/Linear_interpolation

Introduction to the Excel Template

This template allows you to quickly perform a linear interpolation (and extrapolation) between a flexible data set, up to a maximum of 50 sample data points (rows). In plain English, this Excel template draws a straight line between each point in a data set. Also, it calculates (or approximates) the coordinates of points that forms those straight line.

The worksheet is flexible, so if you are willing to perform certain changes, it can accommodate a much larger data set.The user can control three things for interpolation:

• Starting x-value
• Ending x-value
• Size of increment

Note that the chart can also extrapolate data beyond the stated data set, assuming the same slope applies past the last data point.

Below is a thorough explanation on how to properly use the sample file.

Existing Base Template

RhoCRIT(20,.025,2,TRUE) = .5037 RhoCRIT(20,.025,2,FALSE) = .5095

Click here to download the Linear Interpolation Extrapolation Template with Chart (Free template with full functionality)

Wikipedia definition: In mathematics, linear interpolation is a method of curve fitting using linear polynomials. For more info: http://en.wikipedia.org/wiki/Linear_interpolation

Introduction to the Excel Template

This template allows you to quickly perform a linear interpolation (and extrapolation) between a flexible data set, up to a maximum of 50 sample data points (rows). In plain English, this Excel template draws a straight line between each point in a data set. Also, it calculates (or approximates) the coordinates of points that forms those straight line.

The worksheet is flexible, so if you are willing to perform certain changes, it can accommodate a much larger data set.The user can control three things for interpolation:

• Starting x-value
• Ending x-value
• Size of increment

Note that the chart can also extrapolate data beyond the stated data set, assuming the same slope applies past the last data point.

Below is a thorough explanation on how to properly use the sample file.

Existing Base Template

• Column A-C:
  • Sample data point to be interpolated. All sample data must be entered as per the headings (x-axis, y-axis in the corresponding blue area)
  • Important:
    • Numbers in Column A MUST be in ASCENDING ORDER, otherwise this will NOT work.
    • Numbers in Column A must all be different (or unique). No number can show up more than once.
  • The slope in column C is calculated. Do not edit or delete any cells.
    • The slope formula automatically adjusts based on the number of data points.
    • You do not need to edit this row, as low as the number data points remain at or below 50.
  • Without any edits, the chart file should have 11 sample data points or entries on the left.
• Column E-F
  • This is where the interpolation calculation occurs, with the help of columns H to K.
    • We won't explain Columns H to K here. All you need to know is that they are support calculations.
    • Anyone who is interested in the linear interpolation formula should be able to decipher it!
  • Column E starts, increments and ends based on user input in column O.
  • Column F is the interpolated Y-axis. Note that for any x-value that is equal to a sample data point's y-value. Otherwise the file is wrong (or I made a mistake :))
    • For example, in the original file in sample data (column A and B): widgets (x-axis) = 100, time (y-axis) = 1300. If in Column E and F, whenwidgets (x-axis) is 100, but interpolated time (y-axis) is not 1300, then the file is wrong.
    • The 'Chart with Sample Data AND Interpolation (and Extrapolation)' – blue small dots (interpolation extrapolation) should fit well with the red dots (sample data).
• Column O
  • User configuration as described above

How to Add More Sample Data

1. Add the new data point (x and y axis) into columns A and B accordingly.
2. Make sure x-axis (column A) is always in ascending order.
3. If you have to shift cells, do NOT cut and paste, as this will mess up the formulas.
   1. Instead, copy and paste over. Then overwrite the target row with the new data.
   2. If you do not know how to do that, just copy the sample data to a new file first, fix everything, then paste everything back into the blue area.
   3. As long as you do not CUT anything, the formulas will not break.