mat152criticalthinkingassessmentdataset2019-iwnqdua3.xlsx mat152criticalthinkingassessment2019-1-gaqt0zmn.docx

1. a.
Scatter diagram between life expectancy and GDP per Capita
Scatter diagram between life expectancy and % Spending versus GDP
Scatter diagram between life expectancy and Corruptions Score
b.
Scatter diagram between life expectancy and GDP per Capita shows a positive relationship between each other it means as one variable increases second also increases.
Scatter diagram between life expectancy and % Spending versus GDP shows a positive relationship between each other it means as one variable increases second also increases.
Scatter diagram between life expectancy and Corruptions Score shows a negative relationship between each other it means as one variable increases second also decreases.
c.
There is 0.64637 correlation between the life expectancy and GDP per capita.
There is 0.793232 correlation between the life expectancy and % Spending versus GDP.
There is -0.80103 correlation between the life expectancy and corruptions score.
I have calculated this statistic by using the ms –excel.
d.
The correlation coefficient is very significant statistic to show the kind of relationship between the two variables. Correlation coefficient always lies between -1 to 1 . The value which is more closer to 1 is show a more strong correlation between two variables and for -1 it shows a lack of correlation between variables.
2.
a.
Now we have studied the three separate relationship between life expectancy variable and three other variables .we observe that the relationship between GDP Per Capita and % Spending versus GDP is more strong with the life expectancy variable and the variable corruptions score shows a negative relationship with life expectancy variable .So the variables GDP Per Capita and % Spending versus GDP are the best predictor of life expectancy based on the value of the correlation coefficient.
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