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.