The time data is therefore the (Chebyshev's Rule, Empirical Rule) says we should expect of the time data to be minutes.
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.
The shape of the distribution can be determined using values of mean and median.
- If the mean is greater than median, the data is right (positively) skewed.
- If mean is less than median, the data is left (negatively) skewed.
- If the mean is equal to median, then the data is symmetric.
From the Excel output, the mean is 306.9333, median is 310.000, and standard deviation is 33.4674.
It can be observed that, the value of mean is less than median indicating that the distribution is skewed left.
Thus, the distribution of time data is skewed left.
Since the time data is skewed left, Chebyshev’s rule must be used to calculate the percentage.
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