In my university, we often have questions about regression and statistical inference. For example, if there is a relationship between variables X and Y, then the slope of the regression line will be different from zero for all the variables X, Y and Z. Can you see the beauty of linear regression? You just draw a line connecting the points, and that’s your point estimate. Simple enough, right? However, there are many more variables that could affect the slope, and thus the estimate itself may not be correct.

Fortunately, I have already discovered another way to analyze the data I have in the regression analysis programs I use. It is called logistic regression, and it solves the problem of the slope of the regression line. Rather than needing to plot the lines manually, you can now simply log the data and calculate the slopes of the lines. Logistic regression tells me what kind of slope I should expect for my dependent variable, so I can take my statistical inference and regression analysis quiz for me!

Here is how to take my statistical inference and regression analysis quiz for me. To start with, I get the logistic regression function, which I’ll explain below. After that, I select my dependent variable. On the left-hand side panel, there is a row for the variable, on the right-hand side the names of the variable, the sample mean, the standard deviation, and the associated confidence level.

The next step is to select the type of statistical method. Here, I choose a binomial model since it fits my data very well. Next, I click on the ‘forward’ or ‘anova’ button next to the sample mean to highlight it. Then I choose my number of categories (I recommend that you leave the number of categories the default value is one) and click the ‘OK’ button to display my regression results.

Now, on the left-hand side, you’ll find the binomial regression models with the different bins, the variable names, and the sample mean. You can see that the data distribution is normally distributed using the normal curve. I select the state variable and click on the plus sign to highlight it, then I choose the ‘fit’ and I choose my number of categories.

Once I click the ‘stanford’ button, it will generate a stanford distribution. This tells you whether or not the mean of the sample mean is significantly different from the observed mean. I select the ‘p’ option to show the probability density function for the regression. Finally, I select the ‘lm’ option so that I can get a likelihood ratio and highlight the ‘weights’.

In order to take my statistical inference and regression analysis quiz for me, you have to do all this by yourself. Why? The main reason is that regression affects the normal distribution of a given data set, so when you make use of the normal distribution, you have to take into account the standard deviation of that data set. If you don’t do that, then you are not really taking into account the true nature of the statistical model, which may in fact understate the true value of the regression coefficient. Therefore, you have to do all these things yourself in order to get good grades on this quiz.