How do I correctly interpret this data to the question I chose? (does the hours per week spent working effect a student's current grade point average?) and which should I use, Pearsons or Spearman? (this stuff is tough)

The question I wrote is below that can be answered via correlation analysis with two approximately normal or scale variables.

A question that can be answered using correlation analysis with two approximately normal or scale variables is: does the hours per week spent working effect a student's current grade point average? (Morgan et al., 2020).

Figure 2. The appropriate statistics to answer the question

Descriptive Statistics
	Mean	Std. Deviation	N
amount of tv watched per week	11.98	6.096	50
student's current gpa	3.172	.3907	50

Correlationsa
	amount of tv watched per week	student's current gpa
amount of tv watched per week	Pearson Correlation	1	-.253
Sig. (2-tailed)		.076
student's current gpa	Pearson Correlation	-.253	1
Sig. (2-tailed)	.076
a. Listwise N=50

Nonparametric Correlations

Correlationsb
	amount of tv watched per week	student's current gpa
Spearman's rho	amount of tv watched per week	Correlation Coefficient	1.000	-.279*
Sig. (2-tailed)	.	.050
student's current gpa	Correlation Coefficient	-.279*	1.000
Sig. (2-tailed)	.050	.
*. Correlation is significant at the 0.05 level (2-tailed).
b. Listwise N = 50

A4.8.2.b. Interpret the Results of the Question

Xxxxx (Morgan et al., 2020).