説明使用データ http://www.mizumot.com/stats/ch9 …

1 1 2 1 r 1 r .00 . 20 .00 .20 . 40 .40 . 70 .70 .30 .50 D rnyei, 2001, ; regression line regression analysis 1. EXCEL =correl( 1 , 2 ) TOEIC r = .64 2 = 1.

2 2 x y 01020304050600100200300400500600700800 TOEIC 3 TOEIC y = ax + b TOEIC y X Y TOEIC 4 R-2 y = - = TOEIC y = R2= TOEIC = 42 r 2 Step 1 5 2.

3 SPSS 2 OK TOEIC VocTotal TOEIC Pearson 1 .645(**) ( ) .000 N 92 92 VocTotal Pearson .645(**) 1 ( ) .000 N 92 92 ** 1% ( ) 6 / Y X OK 55504540353025 VocTotal8006004002000 TOEIC VocTotal 7 TOEIC VocTotal OK r = .65 r 2 = .42 Excel y = TOEIC = ( ) 8 3.

4 3 TOEIC motivation Step 1 2 motivation OK TOEIC Motivation TOEIC - .65** - Motivation .29** .28** - N = 92, ** p < .01 Excel *.xls 1 TOEIC r 2 = .43 .01 R2 .05 y = x2 (x1 x2 motivation).

5 05 .133 motivation 9 4. Peason s product moment correlation coefficient Spearman s rank correlation coefficient Kendall s rank correlation coefficient SPSS Excel rank