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# Correlation and regression calculator

Enter two data sets and this calculator will find the equation of the regression line and corelation coefficient. The calculator will generate a step by step explanation along with the graphic representation of the data sets and regression line.

Result

You entered the following data:

$$\begin{array}{c|cccccccccccc}X&95.42&95.88&93.05&94.58&98.22&99.65&98.75&100.21&97.02&96.48&95.85&97.44\\Y&48.91&49.10&45.92&38.34&33.75&33.62&37.04&41.65&46.59&45.09&49.20&47.12\end{array}$$

The equation of the regression line is:

$$y~=~189.492 ~-~ 1.512 \cdot x$$

The graph of the regression line is:

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Script name : correlation-and-regression-calculator

Imputed values: 95.42,95.88,93.05,94.58,98.22,99.65,98.75,100.21,97.02,96.48,95.85,97.44 , 48.91,49.10,45.92,38.34,33.75,33.62,37.04,41.65,46.59,45.09,49.20,47.12 , reg

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Correlation and Regression Calculator
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Use data grit to input x and y values
 Find the equation of the regression line Find the corelation coefficient
Show me an explanation
examples
example 1:

Consider the following set of points: ${(-3 , -4), \, (2 , 3), \, (7 , 11)}$

a) Find the regression line for the given data points.

b) Plot the given points and the regression line.

example 2:

The values of $X$ and their corresponding values of $Y$ are shown in the table below:

$$\begin{array}{c|ccccc} X & ~1~ & ~2~ & ~3~ & ~4~ & ~5 \\ Y & ~4~ & ~8~ & ~9~ & ~11~& ~16 \end{array}$$

Find a Pearson correlation coefficient.

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