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                     EXERCISES 5

                   1. Data on the response Y is the amount of suspended solids and the pH of the

                     cleansing  tank  in  a  coal  cleasing  system  recorded  in  Table  5.17.  If  the

                     relationship between the two variables want to be investigated by simple linear

                     regression models,
                     a. Estimate the linear regression equation

                     b. Perform the significance test for the allegation regression equation through F

                        test

                     c.  Check  the  accuracy  of  this  model  linier  relationship  Y  with  X  by  the

                                                       2
                        coefficient of determination R
                     d. Perform testing of the coefficient  1 = 0



                       Table 5.17   Data set of a coal cleasing system

                             pH          Amount of suspended solids
                            (X1)                     (Y)

                             6,5                    292
                             6,9                    329
                             7,8                    352
                             8,4                    378
                             8,8                    392
                             9,2                    410
                             6,7                    198
                             6,9                    227

                             7,5                    277
                             7,9                    297
                             8,7                    364
                             9,2                    375
                             6,5                    167
                             7,0                    225
                             7,2                    247

                             7,6                    268
                             8,7                    288
                             9,2                    342







                                   ~~* CHAPTER 5   THE MULTIPLE LINEAR REGRESSION MODEL *~~
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