Let's assume that a company hires you to rebuild the data that they lost. Data was consists of 10 samples. They provide you information regarding the data which are as follows: skewness -0.36763 kurtosis -1.5463 min 2 max 16 range 14 mean 10.3 median 10.5 mode 16 You need to generate 10 values that will give the same moment as give above
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.
Let's assume that a company hires you to rebuild the data that they lost. Data was consists of 10 samples. They provide you information regarding the data which are as follows:
skewness -0.36763
kurtosis -1.5463
min 2
max 16
range 14
mean 10.3
median 10.5
mode 16
You need to generate 10 values that will give the same moment as give above.
Kindly Solve this Question with complete Explanation of each step. Please do no give direct answers
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