You are given data from a Student Self-efficacy Survey which includes composite variables of Math Self-efficacy and Student Class Effort. Using this dataset:

1. Conduct a regression analysis to predict Math Self-efficacy (Y) from Student Class Effort (X) and show the regression output table. (2 points)

1. Interpret the results, address the multiple correlation coefficient (R), coefficient of determination (R-squared), and the significance level (p-value). (3 points)

GENDER	SES	MATH SELF-EFFICACY	CLASS EFFORT
Male	-0.66	-0.90	-1.27
Male	-0.53	-1.08	-1.34
Male	1.16	0.36	-0.46
Female	-0.50	-0.63	-0.92
Male	-0.97	1.77	1.70
Female	-0.84	1.29	0.69
Female	-0.82	-0.87	0.33
Female	-0.09	-0.13	1.45
Female	0.21	0.76	0.33
Female	0.65	1.77	0.24
Male	-0.19	0.82	-1.34
Male	0.18	0.25	-0.59
Female	-0.70	-0.63	-1.05
Female	-0.60	0.10	0.03
Female	-0.54	-1.57	-1.05
Male	-0.33	1.77	-2.20
Male	0.41	-0.63	-1.05
Female	-0.24	-1.57	-0.83
Male	-1.19	-0.93	-2.42
Male	-1.01	1.77	0.33
Male	-0.54	1.77	1.18
Male	-0.40	0.36	-0.35
Male	-0.31	-0.63	-1.05
Male	-0.23	-0.63	0.33
Male	-0.19	-0.12	-0.19
Male	-0.08	1.02	0.62
Male	-0.06	-0.61	-0.50
Male	-0.03	-1.36	-0.52
Male	0.08	-0.63	-1.05
Male	0.18	1.52	1.41
Male	0.64	0.85	0.89
Male	0.72	-0.37	-0.76
Male	0.81	-0.17	-0.50
Male	0.99	-1.83	-2.42
Male	1.38	0.13	1.11
Male	1.40	1.02	-0.29
Male	1.64	0.57	0.33
Female	-0.64	-0.63	0.80
Female	-0.54	1.53	-1.34
Female	-0.52	-0.43	0.55
Female	-0.36	0.13	0.33
Female	-0.33	-0.63	-0.26
Female	-0.22	1.05	-0.95
Female	-0.14	1.77	0.85
Female	0.04	0.13	-0.54
Female	0.10	1.30	1.41
Female	0.78	0.12	1.70
Female	1.16	0.82	1.16
Female	1.22	-0.63	0.03
Male	1.38	0.13	1.11