(d) Data have been collected from 148 individuals to investigate the possible relation- ship between a person's weight (lbs) and a number of independent variables. Using the statistical computing package R, a multiple linear regression model has been fitted to these data using four of the independent variables: (i) percentage bodyfat, (ii) chest circumference (cms), (iii) hip circumference (cms), and (iv) age (years). Explain what information is being presented in the summary table below. Find the value of the missing item at (A) below. What does this table tell you about any relationships between weight and any of the other variables? Does the order the independent variables are here entered into R matter? [10 marks] > lmq1=lm (Weight Percent + Chest + Hip + Age, data=body) > summary(Imq1) Coefficients: Estimate Std. Error t value Pr>It) (Intercept) -218.75728 12.16033 -17.989 lmq1=lm (Weight Percent + Chest + Hip + Age, data=body) > summary(Imq1) Coefficients: Estimate Std. Error t value Pr>It) (Intercept) -218.75728 12.16033 -17.989