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1,756 bytes added ,  05:31, 19 December 2013
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<div style="font-size:30px">'''INTERCEPT(y,x)'''</div><br/>
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*<math>y</math> is the set of dependent data
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* <math>x</math> is the set of independent data.
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==Description==
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*This function is calculating the point where the line is intesecting y-axis using dependent and independent variables.
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*Using this function we can find the value of <math> y </math> when <math> x </math> is zero.
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*The intercept  point is finding using  simple linear regression.
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*It is fits a straight line through the set of <math> n </math> points in such a way that makes vertical distances between the points of the data set and the fitted line as small as possible.
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*Regression methods nearly to the simple ordinary least squares also exist.
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*i.e.,The Least Squares method relies on taking partial derivatives with respect to the slope
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and intercept which provides a solvable pair of equations called normal equations.
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*Suppose there are <math> n </math> data points {y_i, x_i}, where i = 1, 2, …, n.
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*To find the equation of the regression line:<math> a=y(bar)-b.x(bar)</math>.
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*This equation will give a "best" fit for the data points.
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*The "best" means least-squares method. Here b is the slope.
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*The slope is calculated by:<math> b=summation(i=1 to n)(x_i-x(bar))(y_i-y(bar))/ summation(i=1 to n)[(x_i-x(bar))]^2.
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*In this formula<math> x(bar)</math> and<math> y(bar)</math> are the sample means  AVERAGE of <math> x</math>  and <math> y </math>.
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*In <math>INTERCEPT(y,x)</math> , the arguments can be numbers, names, arrays, or references that contain numbers.
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* The arrays  values are  disregarded when it is contains text, logical values or empty cells.
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*This function will return the result as error when any one of the argument is nonnueric or x and y is having different number of data points and there is no data.
 
'''INTERCEPT'''('''Y''','''X''')
 
'''INTERCEPT'''('''Y''','''X''')
  
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