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Official Journal of the Japan Wood Research Society

Table 2 Multiple regression analysis results

From: Evaluation of visual impact of multiple image characteristics observed in edge-grain patterns

Criterion variable

Predictor variable

Intercept

R 2

M

F

C G

C S

S Varied

  Partial regression coefficient

0.276

0.401

0.045

0.481**

−4.936**

0.859

  Standardized partial regression coefficient

0.196

0.211

0.068

0.844

S Agreeable

  Partial regression coefficient

−0.343**

0.028

−0.095**

0.054*

1.067**

0.798

  Standardized partial regression coefficient

−0.758

0.045

−0.448

0.295

S Vague

  Partial regression coefficient

−0.757**

−0.129

−0.375**

−0.059

4.805**

0.892

  Standardized partial regression coefficient

−0.632

−0.080

−0.667

−0.121

S Showy

  Partial regression coefficient

0.666**

0.179

0.271**

0.229**

−5.249**

0.918

  Standardized partial regression coefficient

0.575

0.115

0.498

0.488

S Natural

  Partial regression coefficient

−0.277**

0.191

−0.102*

0.065

0.695

0.619

  Standardized partial regression coefficient

−0.569

0.291

−0.447

0.330

  1. S Varied, S Agreeable, S Vague, S Showy, and S Natural correspond to sensory values for varied (Henkani-tonda), agreeable (Kanjino-yoi), vague (Boyatto-shita), showy (Hade-na), and natural (Shizen-na) impressions, respectively (Italics in parentheses is corresponding Japanese.)
  2. M mean growth ring width, F growth ring width fluctuation, C G growth ring contrast, C S shading contrast
  3. * p < 0.05, ** p < 0.01