I’m genuinely trying, I’m working on number 2; summarizing whether the assumption was met/ testing the assumption. I’ve googled and found so many different things that at this point idk what I’m doing; plz help

8:09 Data Analysis Report Data Analysis Plan The four variables used in this analysis are Quiz One (number of correct answers on quiz), GPA (grade point average), Total (total number of points earned in class), and Final (number of correct answers on final exam). Variables can be defined as either categorical or continuous. Quiz one and Final can range from zero to whatever number of questions there are on the test. Total can range from zero up to whatever the total points possible for the class are. GPA is the average grade of several classes that is then measured categorically on a numeric scale zero to four. Therefor all four of the variables are continuous variables, as they can be any number within a given range. The research question for this analysis asks if there is a significant relationship between students' final exam scores (final) and their grade point average (GPA)? The Null Hypothesis (HO) states there is no significant relationship between student's final exam scores and their grade point average. The Alternative Hypothesis (H1) states there is a statistically significant relationship between student's final exam scores and their grade point average. Testing Assumptions 1. Paste the JASP output for the given assumption. Descriptive Statistics Descriptive Statistics Valid gpa quiz final total 105 105 105 105 Descriptive Statistics gpa quizl final total Missing 0 0 0 0 Mean 2.862 7.467 61.838 100.086 Std. Deviation 0.713 2.481 7.635 13.427 Skewness -0.220 -0.851 -0.341 -0.757 Std. Error of Skewness 0.236 0.236 0.236 0.236 Kurtosis -0.688 0.162 -0.277 1.146 Std. Error of Kurtosis 0.467 0.467 0.467 0.467 Minimum 1.080 0.000 40.000 54.000 Maximum 4.000 10.000 75.000 123.000 2. Summarize whether or not the assumption is met. 3