NOOB here! I am trying to decide what tests to run on the data from this experiment with 30 participants;

PART 1

We recorded how much television (in minutes) each participant watches in day, and how much of this time was spent watching cartoons (in minutes), they then complete a psychometric test and receive a score between 0 -21.

PART 2 We recorded how much television (in minutes) each participant watches the next day, and tell them to try and abstain from watching cartoons, they then complete the same psychometric test and receive another score between 0-21.

example data returned

PART1

Participant ID 1001 - watched 270 minutes TV in total, and 70 minutes cartoons and scored 14

PART 2

Participant ID 1001 - watched 200 minutes TV in total, and 5 minutes cartoons and scored 12

All good up to this point. I have run checks that data is normally distributed and the paired t-test shows p<0.026.

My issue is what test to run after this? I want to analyse how the number of minutes in total and number of minutes on cartoons has an effect on the score and any interplay.

My first instinct was a multiple regression then a repeated measure anova? what do you think?

Thanks,

Jim