Question

How would you describe the direction and strength of linear relationship based on each of the three correlations?

		f1 mathematics irt-estimated number right	socio-economic status composite
f1 mathematics irt-estimated number right	Pearson Correlation	1	.476
	Sig. (2-tailed)		.000
	N	11967	11967
socio-economic status composite	Pearson Correlation	.476	1
	Sig. (2-tailed)	.000
	N	11967	13263

		f1 mathematics irt-estimated number right	by reading irt-estimated number right
f1 mathematics irt-estimated number right	Pearson Correlation	1	.692
	Sig. (2-tailed)		.000
	N	11967	11967
by reading irt-estimated number right	Pearson Correlation	.692	1
	Sig. (2-tailed)	.000
	N	11967	13263

		f1 mathematics irt-estimated number right	by mathematics irt-estimated number right
f1 mathematics irt-estimated number right	Pearson Correlation	1	.882
	Sig. (2-tailed)		.000
	N	11967	11967
by mathematics irt-estimated number right	Pearson Correlation	.882	1
	Sig. (2-tailed)	.000
	N	11967	13263

Answer 1

From the given information,

1. Here, r=0.476

Hence, There is weak positive linear relationship between the variables f1 mathematics irt-estimated number right and socio-economic status composite.

2. Here, r=0.692

Hence, There is strong positive linear relationship between the variables f1 mathematics irt-estimated number right and by reading irt-estimated number right.

1. Here, r=0.882

Hence, There is very strong positive linear relationship between the variables f1 mathematics irt-estimated number right and by mathematics irt-estimated number right.

Thank you.