HBX Core Formulas and Excel Funtions
- Business Analytics
Coefficient of Variation - ANSStandard Deviation÷Mean
Z Value - ANSz=(x−µ)÷σ
µ - ANSPopulation Mean
σ - ANSPopulation Standard Deviation
x¯¯ - ANSSample Mean
s - ANSSample Standard Deviation
One wellknown deviation in a regular distribution - ANSP(μ−σ≤x≤μ+σ)≈68%
Two (1.Ninety six) trendy deviations in a normal distribution - ANSP(μ−2σ≤x≤μ+2σ)≈95%
Three wellknown deviations in a normal distribution - ANSP(μ−3σ≤x≤μ+3σ)≈ninety nine.7%
Upper and lower bounds of a self belief interval - ANSx¯±z(s÷√n)
Single variable linear regression - ANSy^=a+bx
y^ - ANSThe predicted fee of y, the structured variable, for a given fee of x
x - ANSThe unbiased variable, the variable we're the use of to assist us predict or higher
understand the established variable
a - ANSThe y-intercept, the factor at which the regression line intersects the vertical axis. This is
the value of y^ whilst the unbiased variable, x, is set equal to 0
b - ANSThe slope, the common alternate in the based variable y because the unbiased variable
x increases by one
R² - ANSVariation defined by means of the regression line÷Total variant=Regression Sum of
Squares÷Total Sum of Squares
R² for single variable linear regression - ANSSquare of the correlation coefficient
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