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  2. Leverage (statistics) - Wikipedia

    en.wikipedia.org/wiki/Leverage_(statistics)

    High-leverage points, if any, are outliers with respect to the independent variables. That is, high-leverage points have no neighboring points in R p {\displaystyle \mathbb {R} ^{p}} space, where p {\displaystyle {p}} is the number of independent variables in a regression model.

  3. Influential observation - Wikipedia

    en.wikipedia.org/wiki/Influential_observation

    [6] [7] A high-leverage point are observations made at extreme values of independent variables. [8] Both types of atypical observations will force the regression line to be close to the point. [2] In Anscombe's quartet, the bottom right image has a point with high leverage and the bottom left image has an outlying point.

  4. DFFITS - Wikipedia

    en.wikipedia.org/wiki/DFFITS

    Thus, for low leverage points, DFFITS is expected to be small, whereas as the leverage goes to 1 the distribution of the DFFITS value widens infinitely. For a perfectly balanced experimental design (such as a factorial design or balanced partial factorial design), the leverage for each point is p/n, the number of parameters divided by the ...

  5. Cost–volume–profit analysis - Wikipedia

    en.wikipedia.org/wiki/Cost–volume–profit...

    A critical part of CVP analysis is the point where total revenues equal total costs (both fixed and variable costs). At this break-even point , a company will experience no income or loss. This break-even point can be an initial examination that precedes a more detailed CVP analysis.

  6. Contribution margin - Wikipedia

    en.wikipedia.org/wiki/Contribution_margin

    In Cost-Volume-Profit Analysis, where it simplifies calculation of net income and, especially, break-even analysis.. Given the contribution margin, a manager can easily compute breakeven and target income sales, and make better decisions about whether to add or subtract a product line, about how to price a product or service, and about how to structure sales commissions or bonuses.

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  8. Anscombe's quartet - Wikipedia

    en.wikipedia.org/wiki/Anscombe's_quartet

    The four datasets composing Anscombe's quartet. All four sets have identical statistical parameters, but the graphs show them to be considerably different. Anscombe's quartet comprises four datasets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed.

  9. Growth and underinvestment - Wikipedia

    en.wikipedia.org/wiki/Growth_and_underinvestment

    When discussing how to optimize the system, it can be beneficial to discuss what a leverage point is. The leverage point in the system is a place where structural changes can lead to significant and lasting improvements to the system. There are two kinds of leverage points: [3] Low leverage point – These points are usually the places in the ...