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Simple linear regression model (mpg cylinders) презентация
Содержание
Слайд 4Simple linear regression model (mpg ～ cylinders).
Cylinders has statistically significant
relationship with mpg.
60.37% of variability of mpg.
60.37% of variability of mpg.
3-1.
Слайд 5Multiple linear regression model (mpg ～. –name).
Cylinders, Horsepower, Weight have negative
relationship.
Displacement, Acceleration, Year and Origin have positive relationship.
Displacement, Weight, Year and Origin have significant.
81.82% of variability of mpg.
Displacement, Acceleration, Year and Origin have positive relationship.
Displacement, Weight, Year and Origin have significant.
81.82% of variability of mpg.
3-2.
Слайд 64.
Residual vs Fitted shows that mpg has non-linear relationship with other
variables.
Normal Q-Q shows there are some outliers.
In residual vs leverage, it indicates unusually large outliers which is larger than 2.
And unusually high leverage point is existed.
Normal Q-Q shows there are some outliers.
In residual vs leverage, it indicates unusually large outliers which is larger than 2.
And unusually high leverage point is existed.
