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Kelvin Requena Biostatistics Model Summary Model R Std. Error of the Square Estimate R Square .621a 1 Adjusted R .386 .383 8.43192 a. Predictors: (Constant), reading score From the model R being 0.621 can say that there is a moderate positive correlation between the values of X and Y. This implies that as the Reading scores increases the Social-Studies scores increase by 0.621 units. R squared of 0.386 states that the 38.6 % of the variation in Social-Studies scores can be explained by the linear association between the values of Reading scores and Social-Studies scores. Coefficientsa Standardized Unstandardized Coefficients Model 1 B (Constant) reading score Coefficients Std. Error 18.416 3.103 .651 .058 Beta t .621 Sig. 5.936 .000 11.163 .000 a. Dependent Variable: social studies score 𝑌̂ = b0 + b1 X1 ̂ 𝑆𝑐𝑜𝑟𝑒𝑠 = 18.416 + 0.651 Reading Score 𝑆𝑜𝑐𝑖𝑎𝑙 − 𝑆𝑡𝑢𝑑𝑖𝑒𝑠 For each unity increase in the Reding scores there is a 0.651 unit increase in the Social-Studies scores. Tests of Normality Kolmogorov-Smirnova Statistic math score df .071 a. Lilliefors Significance Correction Shapiro-Wilk Sig. 200 .016 Statistic .977 df Sig. 200 .002 P-value (sig.) = 0.002 is less than the ∝ = 0.05, 𝑤𝑒 𝑤𝑖𝑙𝑙 reject the null hypothesis and concluded that there is a difference between the distribution and that of a normal distribution. Upon rotation of the Box-and-Whiskers chart it can be said that the results from the Reading Scores to that of the Math Scores is positively skewed towards the Reading Scores. In a similar manner it can be noted that the standard deviation of the math scores in relation to the Reading Scores is positively skewed. From my box and whiskers with overlay curve we can conclude that the distribution of the data set is positively sked OR negatively skewed. Research most of the material that was covered in the previous sessions of class remember to practice using the program.