Assignment 3: Pearson Correlation

1.- Research question:

I want to find ou whether we can predict the number of suicides in a given country, knowing the % of urban population it has.

For that matter I am going to use the following variables from the GapMinder dataset:

• Urban Rate
• Suicides per 100K people

2.- Code used (SAS)

LIBNAME mydata "/courses/d1406ae5ba27fe300 " access=readonly;

DATA new; set mydata.gapminder;

PROC SORT; BY COUNTRY;

PROC CORR; VAR urbanrate suicideper100TH;

RUN;

3.- Results:

2 Variables:	urbanrate suicideper100th

Estadísticos simples
Variable	N	Media	Dev std	Suma	Mínimo	Máximo	Etiqueta
urbanrate	203	56.76936	23.84493	11524	10.40000	100.00000	urbanrate
suicideper100th	191	9.64084	6.30018	1841	0.20145	35.75287	SUICIDEPER100TH

Coeficientes de correlación Pearson Prob > |r| suponiendo H0: Rho=0 Número de observaciones
	urbanrate	suicideper100th
urbanrate urbanrate	1.00000   203	-0.13038 0.0761 186
suicideper100th SUICIDEPER100TH	-0.13038 0.0761 186	1.00000   191

4.- Interpretation:

There is almost no linear relation between the Urban Rate of a country and its number of suicides. We cannot make predictions.

Even if the r value was strong enough for us to make predictions, the p value of 0,0761 (higher than 0.05) does not allow us to refuse the null hypothesis which claims there is no relation vetween the variables.