Table 8 Multiple regression analysis of... | Emerald Publishing

Table 8

Multiple regression analysis of effects of age, rank, memory and Refinding 1 (significant parameter estimates)

Parameter	B	Std. error	T	95% confidence interval
Parameter	B	Std. error	T	Lower bound	Upper bound
Age = 1	7.052	2.522	3.379	12.181	22.604
Age = 2	15.202	1.318	3.632	8.017	15.219
Rank = 5	2.111	1.018	2.074	0.102	4.120
Memory 1	6.422	3.309	1.941	−0.109	12.954
Memory 2	4.000	1.070	3.738	1.888	6.112
Age = 2 * Gender = 1	−4.400	1.255	−3.506	−6.877	−1.923
Age = 1 * Memory 1	−10.722	2.150	−4.987	−14.966	−6.478
Age = 2 * Memory 1	−5.711	2.968	−1.924	−11.570	0.148
Age = 3 * Memory 1	5.122	2.399	2.135	0.386	9.858
Rank = 4 * Memory 1	−3.111	1.062	−2.928	−5.208	−1.014
Rank = 3 * Memory 2	−2.233	1.024	−2.181	−4.255	−0.212
Rank = 4 * Memory 2	−2.111	0.930	−2.270	−3.946	−0.276
Gender = 1 * Memory 1	1.400	0.417	3.354	0.576	2.224
Memory 1 * Memory 2	−5.000	1.011	−4.945	−6.996	−3.004

Parameter	B	Std. error	T	95% confidence interval
Parameter	B	Std. error	T	Lower bound	Upper bound
Age = 1	7.052	2.522	3.379	12.181	22.604
Age = 2	15.202	1.318	3.632	8.017	15.219
Rank = 5	2.111	1.018	2.074	0.102	4.120
Memory 1	6.422	3.309	1.941	−0.109	12.954
Memory 2	4.000	1.070	3.738	1.888	6.112
Age = 2 * Gender = 1	−4.400	1.255	−3.506	−6.877	−1.923
Age = 1 * Memory 1	−10.722	2.150	−4.987	−14.966	−6.478
Age = 2 * Memory 1	−5.711	2.968	−1.924	−11.570	0.148
Age = 3 * Memory 1	5.122	2.399	2.135	0.386	9.858
Rank = 4 * Memory 1	−3.111	1.062	−2.928	−5.208	−1.014
Rank = 3 * Memory 2	−2.233	1.024	−2.181	−4.255	−0.212
Rank = 4 * Memory 2	−2.111	0.930	−2.270	−3.946	−0.276
Gender = 1 * Memory 1	1.400	0.417	3.354	0.576	2.224
Memory 1 * Memory 2	−5.000	1.011	−4.945	−6.996	−3.004