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This technique helps is used to get patterns and observe data, drop junk with help of various tools.
The summary output of the regression statistics question is interpreted in terms of multiple R, R squared, adjusted R square and standard errors as per the above ten observations.
The value of the R square is 0.92887. This translates to about 92.89% variation that is justified using the explanatory variable.
Based on the above results the p value is >0.05 this mean the statistical evidence to reject the null. Therefore, the coefficients are equal to zero. This leads to a conclusion that the model is significant.
This technique changes given figures into a particular data set.
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