 Hi, this is Dr. Don and I want to show you real quickly, step-by-step how to use the PHStat regression tool. We're going to forecast into the future for the 1st of November 2020, and as you might remember, I put in this date format and I just converted it over here, copied it into number format. 44 and 136 is the number format for 11-1-2020, and that's what you need for your X value to put into PHStat. So let's go to PHStat, regression, simple linear regression, and we get this dialog box. Make sure you select the Y variable, that's your response variable. In this case we're going to use USA Sales, drag that down to the bottom, make sure that you capture everything, it's awful easy to let your finger up and not capture that last cell, click in the X, which is the predictor variable, and that's going to be month, and I'm going to drag that down, and then I double check to make sure that I've got the same number of values. If you don't have the same number of values for the predictor and the response, you'll get an error. I've got first cells in both ranges contain a label, which they do. I'm going to leave the confidence limit at 95%. I want the ANOVA, I want the residuals table, I want to get the residuals plot, and I want the Durbin Watson statistic, and we're going to get the confidence interval. I think my X was 44256, and I want the 95% confidence interval for that, and I'm going to click OK. And then PHStat inserts a number of tabs, here's the data, original data. Compute has the ANOVA, which you need, and some information up there on your beta coefficients and your half width around beta 1 and beta 0, in case you need to do confidence intervals for those, it's right there for you. We've got, this is the data that it used, it just copies it to show you exactly what it used. These are the residuals, if you are using the data analysis and don't have the Durbin Watson, this is the information you need, the actual residuals, that's the plot data. These are the residual plots, and you can definitely see we have seasonality there, and there's my Durbin Watson statistic 0.2043. So if you're getting errors in these, usually over here in your ANOVA, if you get error messages, that means you probably made a mistake when you were working through this dialog box, and as I said, the most common mistake that I see is people not having matching numbers of x's and y's, or sometimes they will try to have a categorical variable in there, and that won't work, it's got to be quantitative variables, and again remember these dates are really numbers behind the scenes. So that's what normally happens, I hope this helps.