2 There are two datasets of included in the analysis, which include d1 that has 1168 participants and d2 that contains 163 observations. Dataset d1 genderyear_of_study female:9402:650 male:2193:509 The above results indicate that d1 incorporated 940 female and 219 male; besides, among the students 650 are in 2ndyear of study whereas 509 are in 3rdyear of study. Marks The data exhibits that mark is derived by computing the mean of exam and coursework scores, whereby the student recorded a mean mark of 0.6525. The following results exhibits box plots at different factors 23 0 .00 .20 .40 .60 .8 Boxplot for marks by year of study M a rk s The boxplot above shows that year 3 had a higher median than year 2; besides, there are outliers at year 3 below 0.4 marks. Gender femalemale 0.6590426 0.6242466
3 femalemale 0 .00 .20 .40 .60 .8 Boxplot for marks by gender M a r k s The boxplot above shows that female students higher median mark than male students; besides, there are outliers for both female and male students. Modules abnormalanimalcognitive dissertationillusionspersonality 0.586000.6791030.59030670.68987730.65688520.6392638 sexualitysocialstatistics 0.68316670.61104290.6925466 abnormalcognitiveillusionssexualitystatistics 0 .00 .20 .40 .60 .8 Boxplot for marks by module M a r k s As evident, Statistics module had the largest marks distribution and median mark. Dataset d2 gender female:133 male: 30
4 Among the 163 participants 133 are female whereas 30 were male students. Dissertation Marks dissertation_mark Min.:0.0000 1st Qu.:0.6500 Median :0.6900 Mean:0.6899 3rd Qu.:0.7600 Max.:0.8900 It is evident that the students recorded a mean dissertation mark of 0.6899 with a minimum mark of 0 and maximum of 0.89. Hypothesis Null hypothesis: There is no relationship between dissertation marks and year 2 and 3 marks Alternative hypothesis: There is a relationship between dissertation marks and year 2 and 3 marks Significance level: 0.05 Regression model Notably, the study exhibited the relationship between the dissertation marks and both year 2 and 3 marks. lm(formula = d2$dissertation_mark ~ d2$mean_mark_y2 + d2$mean_exam_y3, data = d2) Residuals: Min1QMedian3QMax -0.52581 -0.038700.005890.047510.14482 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept)0.205550.047244.352 2.42e-05 *** d2$mean_mark_y20.531530.063498.371 2.96e-14 *** d2$mean_exam_y30.239040.073433.2560.00139 ** --- Residual standard error: 0.07521 on 157 degrees of freedom (3 observations deleted due to missingness) Multiple R-squared:0.4474,Adjusted R-squared:0.4404 F-statistic: 63.56 on 2 and 157 DF,p-value: < 2.2e-16
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5 As evident, the model recorded r square value of 0.4474 thus the variation in dissertation marks is explained by the model at 44.74%. Consequently, the model had p-value of 2.2e-16 which is less than 0.05 thus the model is adequate. Therefore, the null hypothesis is rejected and we conclude that there is a relationship between dissertation marks and year 2 and 3 marks