Quadratic Yield Response Function [closed]
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
asked Nov 29 at 23:38
Cody Rutscher
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.
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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
asked Nov 29 at 23:38
Cody Rutscher
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.
add a comment |
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
asked Nov 29 at 23:38
Cody Rutscher
13
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
asked Nov 29 at 23:38
Cody Rutscher
13
asked Nov 29 at 23:38
Cody Rutscher
13
asked Nov 29 at 23:38
Cody Rutscher
13
asked Nov 29 at 23:38
Cody Rutscher
13
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.
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
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.
answered Nov 29 at 23:46
Ross Millikan
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
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
answered Nov 29 at 23:46
Ross Millikan
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
add a comment |
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.
answered Nov 29 at 23:46
Ross Millikan
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
add a comment |
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.
answered Nov 29 at 23:46
Ross Millikan
291k23196370
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.
answered Nov 29 at 23:46
Ross Millikan
291k23196370
answered Nov 29 at 23:46
Ross Millikan
291k23196370
answered Nov 29 at 23:46
Ross Millikan
291k23196370
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
add a comment |
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
add a comment |
