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Now in pricenxt AnalyticsRegression analysis

See when prices break from the pattern

Regression analysis shows how closely two price series have been linked historically. It reveals which price fits the market picture. And which one stands out.
Regression analysis with price series and regression line

Negotiate with the better number

Regression analysis shows whether a price demand fits the historical relationship. This helps you conduct supplier negotiations more clearly, check alternatives faster and justify decisions soundly.

What you analyse:

  • Price relationships between two series
  • Historical coupling of materials
  • R², correlation and outliers
  • Deviations from the normal range
  • Price gaps for alternatives
  • Evidence for procurement, controlling, and management
Regression analysis as a basis for price negotiations

Understand price relationships. Spot deviations.

Compare two price series. See how closely they move together. Recognise instantly when a price looks unusually high or low.

Make price relationships visible

Compare two price series directly. See whether materials have moved similarly in the past, how strongly they are coupled and how stable the relationship is.

  • Analyse relationships between materials
  • Interpret correlation and R² clearly
  • Make historical price relationships visible
Relationship between two price series in the regression analysis
Deviation from the expected price level in the chart

Spot deviations faster

The regression line shows which price level would be expected historically. If a current value lies well above or below it, you see the outlier immediately.

  • Check excessive price demands
  • Spot favourable purchasing windows
  • Document deviations from the normal range

Negotiate with numbers

Turn market movements into a clear basis for discussion. Regression shows whether a price demand fits the historical relationship or needs to be explained.

  • Conduct supplier negotiations on a sounder basis
  • Justify price movements transparently
  • Check demands against market data
Reliable figures as arguments for negotiations

Independently researched market prices

See which materials and polymers pricenxt provides independently researched and transparent market price information for.

For everyone who needs to keep material costs under control

Prices rarely move on their own. They depend on other materials, raw materials or market indicators. Regression analysis makes these relationships visible and helps you understand deviations from the historical pattern.

  • Materials procurement

    See whether a material looks unusually expensive compared with an alternative. Use price relationships for framework agreements, supplier negotiations, and procurement decisions.

  • Sales and calculation

    Check whether a price gap is large enough to start a technical material assessment. See the cost impact of an alternative earlier in the process.

  • Controlling and planning

    Explain price developments with historical relationships. Make internal assessments, budgets, and change orders more robust.

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Your questions about regression analysis. Clearly answered.

It shows how strongly two price series are related historically. It also shows how far individual values deviate from the expected relationship.

The regression line shows the statistical normal range between two price series. Values far from this line can point to particular market situations.

R² shows how much of the price movement can be explained statistically. The correlation shows how closely two price series move together.

Yes. Where two materials may be technically comparable, the analysis helps you recognise the price gap and the commercial incentive for a review.

No. pricenxt shows price differentials and statistical relationships. Technical suitability is assessed separately by development, quality, and production.

Yes. It helps you interpret price demands objectively and clearly justify deviations from the historical price relationship.

For procurement, material planning, development, calculation, controlling, sales, and management.

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