RUNNING HEAD: CORRELATION 1 Correlation: Name: Institution Affiliation: Date: CORRELATION 2 Step 1: The Data Analysis Plan Data analysis is essential in providing insights that result in informed decisions. In this paper, an analysis of the grades dataset will be carried to enable educators to make informed decisions that will positively impact students' performance. The dataset, which comprises 21 variables, has a sample size of 105. In this analysis, the variables of interest are quiz 1that represents the number of correct answers provided by a student in quiz 1, GPA that is the previous grade point average, total that represents the number of points that a student earned in class, and final. All the variables are continuous variables. Research questions Is the relationship between the total points a student earned in class and their final exam scores statistically significant? Is the relationship between a student's GPA and their quiz 1 scores statistically significant? Hypotheses H0: the relationship between the total points a student earned in class and their final exam scores is not statistically significant. H1: the relationship between the total points a student earned in class and their final exam scores is statistically significant. H0: the relationship between a student's GPA and their quiz one scores is not statistically significant. H1: the relationship between a student's GPA and their quiz one scores is statistically significant. Step 2: Testing Assumptio ...
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