relationship between observed data and a model

USAGE SUMMARY

The phrase "relationship between observed data and a model" is correct and usable in written English.
It can be used in contexts such as scientific research, data analysis, or statistical modeling to describe how actual data correlates with a theoretical or computational model. Example: "The study aims to explore the relationship between observed data and a model to improve predictive accuracy."

✓ Grammatically correct

Science

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

A graphical comparison was made between observed data and the model predicted median and 95% prediction interval over time.

CPT: Pharmacometrics and Systems Pharmacology

The goodness of fit between observed data and expected demographic models was estimated using the Sum of Square Deviations (SSD).

BMC Evolutionary Biology

Linear Model (6) tests the correlation between observed data and the highest latitude of complex distribution.

Biology Direct

The papers validate and verify the models by comparing synthetic results with observed data and empirical models.

Springer

We used Bayesian networks -- a probabilistic graphical model -- that performs inferences to predict the missing values given the observed data and the dependency relationships between the variables.

Harvard University

Results in Table 6 depicted good linear relationship between observed and GCM-derived climate data (R = 0.92 0.99 for precipitation and 0.77 0.99 for temperature).

Environmental Systems Research

These data help to understand the relationship between observed toxicity and administered dose.

Drug Discovery Today

The application model establishes a relationship between the data rate and a utility metric.

EURASIP Journal on Wireless Communications and Networking

Supplemental Material, Figures 3 6 (doi:10.1289/ehp.0900855.show show close agreement between the observed cytokine data and model 2 predictions for each cytokine.

Environmental Health Perspectives

However the relationship between observed viral mutations and viral load changes and their causality in subject D-5018 should be taken cautiously without support of functional immunologic data.

Plosone

On the other hand, climate models, because they rely on the laws of physics to recreate the behavior of the environment, can establish a causal relationship between observed environmental change and climate events.

Columbia University

Expert writing Tips

Best practice

When discussing the "relationship between observed data and a model", specify the type of model (e.g., statistical, computational, predictive) to provide clarity and context. For example: "The study examines the relationship between observed data and a statistical model to forecast future trends."

Common error

Avoid vague statements about the "relationship between observed data and a model" without specifying whether it's a correlation, causation, or association. Instead, clarify the nature of the relationship to provide more meaningful insights.

Linguistic Context

The phrase "relationship between observed data and a model" functions as a noun phrase that specifies the connection or association between empirical evidence (observed data) and a theoretical or computational framework (a model). Ludwig AI confirms that phrase is correct.

Expression frequency: Missing

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Ludwig's WRAP-UP

In summary, the phrase "relationship between observed data and a model" is a grammatically correct and conceptually important term, predominantly used in scientific and academic contexts. Ludwig AI confirms its correctness. While no exact examples were found in the provided data, the phrase is widely understood and used to describe the connection between empirical evidence and theoretical constructs. To enhance clarity in writing, it's advisable to specify the type of relationship and the nature of the model. Several alternative phrases, such as "correlation between empirical data and a model" or "link between experimental data and a model", offer similar meanings with slight variations in emphasis. Understanding the subtle differences between these alternatives is crucial for precise and effective communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

correlation between empirical data and a model

Replaces "observed data" with "empirical data" and "relationship" with "correlation", focusing on the statistical aspect.

association between real-world data and a model

Substitutes "observed" with "real-world" and "relationship" with "association", emphasizing the practical nature of the data.

connection between empirical findings and a model

Uses "empirical findings" instead of "observed data" and "connection" for "relationship", highlighting the results of observation.

link between experimental data and a model

Replaces "observed data" with "experimental data" and "relationship" with "link", suggesting a more direct connection.

correspondence between actual data and a model

Uses "actual data" in place of "observed data" and "correspondence" instead of "relationship", stressing the similarity or agreement.

alignment between empirical evidence and a model

Replaces "observed data" with "empirical evidence" and "relationship" with "alignment", focusing on how well the data supports the model.

tie between observational data and a model

Substitutes "observed data" with "observational data" and uses "tie" for "relationship", indicating a strong bond.

interface between measured data and a model

Replaces relationship with interface, indicating how data interacts and modifies a model.

mapping between empirical results and a model

Replaces "observed data" with "empirical results" and relationship with mapping, suggesting a model builds upon some sort of data transformation

comparison between experimental data and theoretical model

Adds "theoretical" to describe the type of model. Switches relationship for comparison.

FAQs

How can I describe the "relationship between observed data and a model" in simpler terms?

You could use phrases like "connection between real data and a model", "link between findings and a model", or "how well the model fits the data". These alternatives are generally easier to understand in non-technical contexts.

What's the difference between "correlation" and the "relationship between observed data and a model"?

"Correlation" specifically refers to a statistical measure of association, while the "relationship between observed data and a model" is a broader term encompassing any connection, whether causal, correlational, or predictive. The "correlation between empirical data and a model" implies a specific type of statistical relationship.

How do I determine if the "relationship between observed data and a model" is strong?

Assess the goodness of fit using statistical measures like R-squared, p-values, or residual analysis. Visual inspection of plots comparing observed and predicted values can also provide insights into the strength and nature of the relationship.

In what contexts is it appropriate to discuss the "relationship between observed data and a model"?

This phrase is appropriate in scientific research, data analysis, statistical modeling, and any field where you're comparing empirical observations with theoretical constructs or predictive algorithms. Its "mapping between empirical results and a model" is important to understand relationships.