Please show every step

\f\fThe AirQuality dataset contains the following daily measurements at an Italian city for a total of n = 347 days between March 11, 2004 to April 3, 2005, in which the skipped days have been excluded from the sample size. For each day, the following measurements (among others) were recorded: Temp - Temperature, in C NOx - Concentration of nitrogen oxides (NOx), in ppb Part of the data is shown below. You may assume that the data represents a random sample from all measurements taken in that Italian city. Day # Date Temperature ( C) NOx concentration (ppb) 1 March 11, 2004 9.84 205.80 2 March 12, 2004 11.29 227.64 3 March 13, 2004 12.87 234.71 . . . . . . . . . . . . 346 April 2, 2005 15.48 204.14 347 April 3, 2005 18.38 223.45 Sample mean X = 18.05 y = 243.10 Sample standard deviation SX = 8.04 Sy = 76.38In this problem. we consider using a linear regression model to predict the N0x concentration from the temperature. The summary of the linear regression model for NOx on Temp is given in the following: In this problem, we consider using a linear regression model to predict the NO)( concentration from the temperature. The summary of the linear regression model for NOx on Temp is given in the following: > m2 summaryCmZ) Call: lmCFormula = NOx ~ Temp, data = AirQuality) Residuals: Min 1Q Median 3Q Max -163.497 -45.969 -0.588 51.057 155.677 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 335.3573 8.4991 39.52