10. The data in chocolate_nobels.xls is not bivariate normal. Plot a scatter plot of the data. Based on the scatter plot, how does the data deviate from bivariate normality? 11. (This question has 3X the normal weight). What is the value of Spearman's correlation coefficient for the association between chocolate consumption and number of Nobel prize winners in chocolate_nobels.xls? 12. Perform a formal test for correlation on the chocolate consumption / Nobel prize winners data in chocolate_nobels.xls. H0: There is no correlation between chocolate consumption and the number of Nobel prize winners (=0) H1: There is a correlation between chocolate consumption and the number of Nobel prize winners ( is not 0) What is the critical value of Spearman's correlation coefficient, which is required to reject the null hypothesis at a 0.05 confidence level?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
10. The data in chocolate_nobels.xls is not bivariate normal. Plot a
11. (This question has 3X the normal weight). What is the value of Spearman's
12. Perform a formal test for correlation on the chocolate consumption / Nobel prize winners data in chocolate_nobels.xls.
H0: There is no correlation between chocolate consumption and the number of Nobel prize winners (=0)
H1: There is a correlation between chocolate consumption and the number of Nobel prize winners ( is not 0)
What is the critical value of Spearman's correlation coefficient, which is required to reject the null hypothesis at a 0.05 confidence level?
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