Why point A is called high leverage answer in few lines no need of detailed explanation 1 removal of this observation would result in a change to the y intercept of the least squares regression line 2 removal of this observation would result in a change to the slope of the least squares regression line 3 the value of the response variable for this point is much larger than the others included in the data 4 the predicted value of the response variable would be much different than the observed value 5 the value of the explanatory varaible fornthis point is much larger than the others included in the data
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.
Why point A is called high leverage answer in few lines no need of detailed explanation
1 removal of this observation would result in a change to the y intercept of the least squares regression line
2 removal of this observation would result in a change to the slope of the least squares regression line
3 the value of the response variable for this point is much larger than the others included in the data
4 the predicted value of the response variable would be much different than the observed value
5 the value of the explanatory varaible fornthis point is much larger than the others included in the data
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