Slope Intercept form of a Line

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The Slope Intercept form of a Line utility provides the slope-intercept form of a line based on the value of two points (x₁ , y₁ and x₂ , y₂). /attachments/5c807277-1dcb-11e6-9770-bc764e2038f2/slope-intercept.png

INSTRUCTIONS: Enter the following:

(P1) Point 1 x₁ and y₁ Coordinates
(P2) Point 2 x₂ and y₂ Coordinates

Slope Intercept Line (y = mx +b): The utility returns a string with the slope-intercept form of the line.

The Math / Science

The slope intercept form gives the equation of a line, using the slope (m) and a point on the y-axis (b) as follows:

y = mx + b

The algorithm looks for the following special cases:

If the two points are the same, no line is formed just a point.
If the x components are the same, the slope is infinite, and the line has a constant value equal to the x component.
If the y components are the same, the slope is zero, and the line has a constant value equal to the y component.

With the slope and intercept (b) from the slope intercept formula, you can enter any value of x and get the corresponding value of y on the line.

Linear Equations

Statistics Calculators

Observational Stats: This function accepts a table (rows and columns separated by commas) of numbers and calculates observational statistics for any of the columns. This includes count, min, max, sum, sum of squares (Σx²), square of the sum (Σx)², mean, median, mode, range, mid point, rand, sort up, sort down, rand, population variance, population standard deviation, the sample/experimental variance, sample/experimental standard deviation.
Simple Stats: This is also provides a full set of observational stats, but on a single row of numbers separated by commas. The observational stats include count, min, max, sum, sum of squares (Σx²), square of the sum (Σx)², mean, median, mode, range, mid point, rand, sort up, sort down, rand, population variance, population standard deviation, the sample/experimental variance, sample/experimental standard deviation.
Frequency Distribution: This function lets you enter a string of numbers separated by commas, a low and high range and a number of bins. It then computes how many of the observations are in each of the bins between the high and low values designated.
Paired Sample t-test: This computes the various parameters associated with the Paired Sample t-test.
ANOVA (one way): The computes the F Score and details for one way analysis of variance for a nxm matrix of observations.
(χ²) Chi-Square Test: This computes the Chi-Square value for an nxm array of data and provides the degrees of freedom.
Linear Regression: This computes the regression line (least-squares) through a set of X and Y observations. It also computes the regression coefficient (r).
Least-squares Trend Inference : This is a linear equation used with Linear Regression to compute a predicted value of Y based on X.
Wilcoxon Signed Rank Test: This provides the Wilcoxon statistics and critical value for two groups of numeric observations based on an alpha value and whether it's a one or two tailed test.
Slope-Intercept form of a Line: This provides the slope intercept form (y = mx+b) of a line based on two coordinates.
Slope between two points: This provides the slope between two coordinates.
Linear Equation: This computes the range (y) of a linear equation (y = mx +b) and includes a graphing function.
Probability between z SCORES: This computes the area under the Normal Distribution curve between two z SCOREs which equates to the probability of an event in that range.
Stats Calc: College level statistics calculator with a bundle including most of the functions in this list.
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Minimum: This computes the minimum (min) value in a set of numbers.
Maximum: This computes the maximum (max) value in a set of numbers.
Numeric Sort: This sorts (ascending or descending) a set of comma separated numerical observations.
Random Sample (k items): The provides a random subset of a specified size (k) in a set of comma separated numerical observations.
Random Real Number in Range: The provides a random real number between two specified real numbers (upper and lower bounds).
Radom Integer: The provides a random integer between two specified integers (upper and lower bounds).
Frequency Distribution: This provides a frequency distribution table for a comma separated set of numbers with a specified number of frequency bins between a lower and upper data range.
Sum (Σx): This is computes the sum of the values in a set.
Sum of Squares (Σx²): This computes the sum of the squared values in a set.
Sum Squared (Σx)²: This computes the square of the summed values in a set.
Mean (μ): This computes is the mean (average) of values in a set.
Median: This identifies the middle ordered value in a set of numbers.
Statistical Mode: This identifies the most recurring observation in a set of numbers.
Mid Point: This is identifies the mid point of the observation range in a set of numbers.
Range: This is computes the difference between the max and the min values in a set of number.
Population Variance (σ²): This computes the variance, a metric regarding the spread of values, for a population set of numeric values.
Population Standard Deviation (σ): This computes the standard deviation for a population set of numeric values.
Sample Variance (s²) : This computes the variance, a metric regarding the spread of values, for a sample set of numeric values within a greater population.
Sample Standard Deviation (s): This computes the standard deviation for a sample set of numeric values within a greater population.
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z SCORE: This computes the z SCORE for a value (Raw Score) based on a set of values, and whether that set is sample or population.
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Percent Relative Standard Deviation (%RSD): This computes the percent relative standard deviation, also known as the coefficient of variation (CV). The %RSD is a measure of the dispersion of a probability distribution.