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Least squares adjustment interpretation

Good morning,

Could you tell me how to interpret the least squares results obtained in your dataset in the JMP "Policity" Help tool for Analysis\Linear Model.

Is it possible to put qualitative variables in Y, if so how can we also interpret them?

Thanking you in advance,

Best regards,

Florence GLAUDET

Data Exploration and VisualizationRe: Least squares adjustment interpretation

Hello @FlorenceJMP ,

Welcome to the community !

Do you have a particular aspect that you are looking to better understand in reporting linear model results?

• If so, could you add details and screenshots to better understand what is asking you?
• If not, I can recommend the Correlation and Regression Tutorial | JMP of the STIPS (Statistical Thinking for Industrial Problem Solving) course, which will allow you to better understand the construction, evaluation and interpretation of linear and logistic models. There is also the Simple Linear Regression | Introduction to Statistics | JMP available on the JMP Statistics Knowledge Portal

Regarding your question, you can have qualitative variables in X and Y:

• If your Y response is continuous numeric, your model will be a linear model: you model the continuous numeric response values ​​based on your X's.
• If your Y answer is categorical (or discrete numerical), your model will be a logistic model: you model the probabilities of obtaining each category/level/class according to your X's.

Hoping that this first answer can help you,