课程: Data, Economic Modeling, and Forecasting with Stata
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Correlation
- [Narrator] One of the goals of using the mean and summarize commands is to get familiar with your data. Another way to get familiar with your data before you begin regression analysis and forecasting, is to look for correlations. The command for this in Stata is C-O-R-R-E-L, correl. And let's take a look at some of the data we have. For example, let's look at those aluminum closing prices, one month out and compare it to that sum of the PMIs. We see here that there's a statistically significant and positive correlation. In fact, this is a correlation of almost 0.5 and because it's positively correlated, it means that when PMIs go up, aluminum prices, generally will go up as well. If this had been an inverse correlation the number would've been negative, and that would mean that, for example when the PMIs go up, aluminum prices would go down. But this is a positive correlation. Let's take a look at some of the other data…
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内容
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Overview and enter data1 分钟 58 秒
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Data preparation and selection2 分钟 57 秒
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Inputting data1 分钟 24 秒
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Mean and summary statistics4 分钟 35 秒
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Standard deviation and SE4 分钟 33 秒
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Correlation3 分钟 9 秒
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Key output validity measures2 分钟 1 秒
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Univariate model2 分钟 41 秒
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Multivariate model3 分钟 35 秒
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Appling univariate model to forecast2 分钟 58 秒
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Saving and files54 秒
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