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I International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456nternational Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
                                                   nd
                                  Special Issue of Special Issue of 2  International Congress of Engineering
        4.  Calculation of regression analysis.Calculation of regression analysis. In this phase the specialized software Minitab® was used in its test In this phase the specialized software Minitab® was used in its test
            version.  Data  were  entered:  conduversion.  Data  were  entered:  conductivity  (predictor  variable)  and  density  (response  variable).  Figure  2 ctivity  (predictor  variable)  and  density  (response  variable).  Figure  2
            shows an example of the above.
























                               Figure 2. Example of data entry to Minitab® speFigure 2. Example of data entry to Minitab® specialized software.cialized software.

        As can be seen, the previous figure shows how the data of both the conductivity variable and the density variable were As can be seen, the previous figure shows how the data of both the conductivity variable and the density variable were s can be seen, the previous figure shows how the data of both the conductivity variable and the density variable were
        A
        e
        entered. Figure 3 shows an example of how the Minitab® specialized software in its test version, the predictor variabentered. Figure 3 shows an example of how the Minitab® specialized software in its test version, the predictor variabntered. Figure 3 shows an example of how the Minitab® specialized software in its test version, the predictor variable
        (x) and the response variable (y) are chosen.(x) and the response variable (y) are chosen.





















                          F
                          Figure 3. Example of choosing variables in Minitab® specialized software.Figure 3. Example of choosing variables in Minitab® specialized software.igure 3. Example of choosing variables in Minitab® specialized software.

        5. Analysis of results. At this stage we proceeded to At this stage we proceeded to  An  analysis  that  must  be  performed  within  the An  analysis  that  must  be  performed  within  the
        examine  the  results  obtained  from  specialized examine  the  results  obtained  from  specialized  regression  analysis  is  the  meaning  test,  which regression  analysis  is  the  meaning  test,  which
        Minitab® software. Table 2 shows an example of the Minitab® software. Table 2 shows an example of the  determines in a statistical way if the regression model ermines in a statistical way if the regression model
        results obtained from Minitab® software.results obtained from Minitab® software.   is  worth  obtaining  (Escalante,  2013).  For  this  and s  worth  obtaining  (Escalante,  2013).  For  this  and
                                                                i
                                                                f following the ideas of the same author, the hypotheses ollowing the ideas of the same author, the hypotheses
                Table 2. Sample result of the modele 2. Sample result of the model   that are raised are the following:hat are raised are the following:
                                                                t
                               Model
                         Y = -0.188 + 7.67 x                         Ho:  B1  =  0  (There  is  no  linear  relationship Ho:  B1  =  0  (There  is  no  linear  relationship
                                                                       between  x,  y).  Regression  does  not  make gression  does  not  make
        The above table indicates the linear regression model tes the linear regression model   sense.
        that will have the study process. With this equation it that will have the study process. With this equation it     Ha:  B1  ≠  0  (x  is  valuable  t≠  0  (x  is  valuable  to  explain  the
        will be possible to predict future data of the density of will be possible to predict future data of the density of    variation of y).
        the product.

        @ IJTSRD  |  Available Online @ www.ijtsrd.com@ IJTSRD  |  Available Online @ www.ijtsrd.com |  Special Issue Publication  |  NovemberNovember 2017             P - 22
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