Question

variable1	variable2
-0.21582	0.89369
0.56997	-0.72620
-0.54850	-0.09185
-0.12385	0.50086
0.06975	-0.73607
0.16327	0.88498
-0.72595	-0.27512
0.22500	0.62647
-0.40463	0.92432
0.67652	0.56368
-0.82322	0.73005
0.06747	-0.74824
0.74055	0.79412
-0.71577	-0.04509
-0.82231	-0.70951
-0.47603	0.01573
0.58094	0.51169
-0.58573	0.10376
0.19003	-0.90089
-0.49528	0.04767
0.93083	-0.16886
0.61389	-0.65529
-0.91742	0.25296
-0.60957	-0.24747

Correlation is used to discover relationships between variables. Evaluate correlation between the variables in the Data above. What is the correlation?

a. 0.310

b. -0.008

c. None of the answers are correct

d. -0.991

e. 0.984

Answer 1

Answer: -0.008

You can get the correlation by using excel<data<megastat<regression.

or you can use the data<megastat<correlation matrix.

This will give you same r that is correlation.

The output is as follows:

Regression Analysis
	r²	0.000
	r	-0.008
	Std. Error	0.616
	n	24
	k	1
	Dep. Var.	variable2
ANOVA table
Source	SS	df	MS	F	p-value
Regression	0.0005	1	0.0005	0.00	.9715
Residual	8.3494	22	0.3795
Total	8.3498	23
Regression output					confidence interval
variables	coefficients	std. error	t (df=22)	p-value	95% lower	95% upper
Intercept	0.0635
variable1	-0.0080	0.2221	-0.036	.9715	-0.4686	0.4526

Please do the comment for any doubt or clarification.