3.4. This exercise considers what happens when there is only one parameter when data tting using linear least squares. Assume here that f (I) is a given function. (a) Suppose the model function is y = 111 f [33). Using least squares error, what is the resulting formula for 111? In doing this, assume that there is at least one data point with n) nonzero. Exercises 381 Si 3.03 1.5? 3.14 4.?1 5.23 n 3.52 1.23 15.14 1.35 3.52 Table 8.8 Data for the comet 21"PfCronunelin, used in Exercise 3.5. [13) Suppose the model function is y = 111 + it). Using least squares error, what is the resulting formula for 111