![]() ![]() I'm asked to round to one decimal place and so that is what I will do. So I'm just going to use the numbers here in my parameters estimate table to input the answers into my answer field. Notice how these numbers here match the numbers than the listed model at the top. To input those coefficients into my answer fields, I often find it easier to look here in the parameter estimates table. ![]() And so we don't have any interactions.Īt this point we're ready to make our model, so I press Compute! and here in my results window I have the model that they're looking for. But here we only see sex and age listed separately in separate terms and not multiplied together in the same term. Interactions we don't have, and we can tell we don't have any interactions because, if we did, we would see variables like sex and age being multiplied together. This is what we input into the model, so I'm going to select each of those variables here. The x-variables are these variables here. So for my y-variable, I'm going to select the column of the weight values. Here that's going to be the weight, which you can see listed here. The y-variable is the response, or what comes out of the model. Since I know specifically what model I want to make, all I have to do now is go to Stat –> Regression –> Multiple Linear (because we're looking at multiple variables in a equation with the linear form). Now that my data is in StatCrunch, I'm ready to make my model. I click on this icon here so I can open it in StatCrunch. To do that, I'm going to take my data and dump it into StatCrunch. OK, the first thing we're asked to do is provide the multiple regression equation with these variables in the equation.
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