Quadratic Yield Response Function [closed]












-2














How do I find the quadratic yield response function in the form of "Y = b0 + b1*X + b2*X^2" for a set of data in excel?






quadratics







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closed as off-topic by Saad, Alexander Gruber♦ Nov 30 at 3:08


This question appears to be off-topic. The users who voted to close gave this specific reason:


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If this question can be reworded to fit the rules in the help center, please edit the question.


















    -2














    How do I find the quadratic yield response function in the form of "Y = b0 + b1*X + b2*X^2" for a set of data in excel?






    quadratics







    share|cite|improve this question













    closed as off-topic by Saad, Alexander Gruber♦ Nov 30 at 3:08


    This question appears to be off-topic. The users who voted to close gave this specific reason:


    • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – Saad, Alexander Gruber

    If this question can be reworded to fit the rules in the help center, please edit the question.
















      -2












      -2








      -2







      How do I find the quadratic yield response function in the form of "Y = b0 + b1*X + b2*X^2" for a set of data in excel?






      quadratics







      share|cite|improve this question













      How do I find the quadratic yield response function in the form of "Y = b0 + b1*X + b2*X^2" for a set of data in excel?






      quadratics




      quadratics






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Nov 29 at 23:38









      Cody Rutscher

      13




      13




      closed as off-topic by Saad, Alexander Gruber♦ Nov 30 at 3:08


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – Saad, Alexander Gruber

      If this question can be reworded to fit the rules in the help center, please edit the question.




      closed as off-topic by Saad, Alexander Gruber♦ Nov 30 at 3:08


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – Saad, Alexander Gruber

      If this question can be reworded to fit the rules in the help center, please edit the question.






















          1 Answer
          1






          active

          oldest

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          0














          Make a two columns with your data points in each row, $X$ on the left. Make an XY plot and Add Trendline. One of the choices is polynomial fit, choose $2$. If you right click on the trendline you get an option to show equation.






          share|cite|improve this answer





















          • The follow up question is "Why may you want to assume that the response function is quadratic rather than linear?"
            – Cody Rutscher
            Nov 30 at 0:00










          • When you plot the data you may see there is curvature to it. That comes out in the goodness of fit you are given.
            – Ross Millikan
            Nov 30 at 0:30


















          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          0














          Make a two columns with your data points in each row, $X$ on the left. Make an XY plot and Add Trendline. One of the choices is polynomial fit, choose $2$. If you right click on the trendline you get an option to show equation.






          share|cite|improve this answer





















          • The follow up question is "Why may you want to assume that the response function is quadratic rather than linear?"
            – Cody Rutscher
            Nov 30 at 0:00










          • When you plot the data you may see there is curvature to it. That comes out in the goodness of fit you are given.
            – Ross Millikan
            Nov 30 at 0:30
















          0














          Make a two columns with your data points in each row, $X$ on the left. Make an XY plot and Add Trendline. One of the choices is polynomial fit, choose $2$. If you right click on the trendline you get an option to show equation.






          share|cite|improve this answer





















          • The follow up question is "Why may you want to assume that the response function is quadratic rather than linear?"
            – Cody Rutscher
            Nov 30 at 0:00










          • When you plot the data you may see there is curvature to it. That comes out in the goodness of fit you are given.
            – Ross Millikan
            Nov 30 at 0:30














          0












          0








          0






          Make a two columns with your data points in each row, $X$ on the left. Make an XY plot and Add Trendline. One of the choices is polynomial fit, choose $2$. If you right click on the trendline you get an option to show equation.






          share|cite|improve this answer












          Make a two columns with your data points in each row, $X$ on the left. Make an XY plot and Add Trendline. One of the choices is polynomial fit, choose $2$. If you right click on the trendline you get an option to show equation.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Nov 29 at 23:46









          Ross Millikan

          291k23196370




          291k23196370












          • The follow up question is "Why may you want to assume that the response function is quadratic rather than linear?"
            – Cody Rutscher
            Nov 30 at 0:00










          • When you plot the data you may see there is curvature to it. That comes out in the goodness of fit you are given.
            – Ross Millikan
            Nov 30 at 0:30


















          • The follow up question is "Why may you want to assume that the response function is quadratic rather than linear?"
            – Cody Rutscher
            Nov 30 at 0:00










          • When you plot the data you may see there is curvature to it. That comes out in the goodness of fit you are given.
            – Ross Millikan
            Nov 30 at 0:30
















          The follow up question is "Why may you want to assume that the response function is quadratic rather than linear?"
          – Cody Rutscher
          Nov 30 at 0:00




          The follow up question is "Why may you want to assume that the response function is quadratic rather than linear?"
          – Cody Rutscher
          Nov 30 at 0:00












          When you plot the data you may see there is curvature to it. That comes out in the goodness of fit you are given.
          – Ross Millikan
          Nov 30 at 0:30




          When you plot the data you may see there is curvature to it. That comes out in the goodness of fit you are given.
          – Ross Millikan
          Nov 30 at 0:30



          -

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