"correlation graph" is a correct and usable part of a sentence in written English.
You can use it to describe a graph that visually represents the relationship between two variables. For example, "The correlation graph shows a strong positive correlation between the number of hours studied and the test scores."
Inspired by the correlation graph, we respectively design diverse term selection strategies for structured information (e.g. tags, ratings) and unstructured information (e.g. reviews, annotations).
The single point correlation graph of Sh which shows the entrance of aridity through the South Eastern Anatolia Region into Turkey and the distribution of the aridity over Turkey explains the relationship with Sh and aridity.
Firstly, through the representations, social information is categorized into structured and unstructured information, then a correlation graph for terms occurred in queries and social information is built to express rich semantic contexts for their relationships.
Correlation graph for all atoms (a) and correlation graph for C1 atom type (b).
Figure 12 Correlation graph between outdoor temperature and relative humidity.
Fig. 4 Rainfall and runoff volume correlation graph in Eucalyptus Fig. 5 Rainfall and runoff volume correlation graph in grassland Fig. 6 Rainfall and runoff volume correlation graph cultivated land.
A correlation graph between the calculated and the experimental vibrational frequencies is shown in Fig. 10.
In the correlation graph, each MTV measured by various methods and GTV showed a significant correlation with each other (Fig. 1).
The impacts of individual factors of TPM: breakdown time (TA), downtime (TP), coefficient of operation (WE), coefficient of utilization (WW), the coefficient of speed (WPD), the useful operating time, time of accident forms (TAF) and the time machine failure (TAM) on the level of quality (BS represented as the level of non-conformity) are presented in the form of the correlation graph (Fig. 3).
Fig. 6 Correlation graph for biosensor and HPLC Table 1 Comparison of the biosensor and HPLC methods for real sample analysis Sample number/name Glucose concentration obtained by mM (n = 3) Biosensor HPLC 1/Orange nectar 303.5 ± 5.3 329.9 ± 7.8 2/Oranectarctar 375 ± 3.9 391.4 ± 5.3 3/Orange juice 64 ± 1 54.2 ± 0.5 4/Apple juice 185 ± 4.8 200.8 ± 6.5.
