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@Harshita_Dudhe, the first plot is basically the line of best fit on top of mpg vs. horsepower plot. Assuming you have already created the model, this can be generated separately by:

The rest of the plots display parameters pertaining to the model itself – meta-information of the model, if you will. To be honest, most of the terms are beyond my basic understanding of statistics, but the section 4.2 here will hopefully give you a start.

Residual vs Fitted – The plot gives an idea of whether there is any curvature in the data. If the line is strongly curved, a quadratic or other model may be better.

Scale -Location– The plot is used to check if the variance is constant (ie, if the standard deviation among the residuals appears to be about constant). Fitted Vs root of(standadise residuals )

Residual vs Leverage This plot is used to check to see if there were any overly influential points .

Normal Q-Q The plot is to check whether the residuals are normally distributed.