The time period under study may not be representative of other time periods.The data is a time series, so there could also be autocorrelation.There are only 20 observations, which may not be enough to make a good inference. Visa is a component of the S&P 500, so there could be a co-correlation between the variables here.With only one variable in the model, it is unclear whether V affects the S&P 500 prices, if the S&P 500 affects V prices, or if some unobserved third variable affects both prices.However, an analyst at this point may heed a bit of caution for the following reasons: From the R-squared, we can see that the V price alone can explain more than 62% of the observed fluctuations in the S&P 500 index.This indicates that this finding is highly statistically significant, so the odds that this result was caused by chance are exceedingly low. We can also see that the p-value is very small (0.000036), which also corresponds to a very large T-test.In the regression output above, we can see that for every 1-point change in Visa, there is a corresponding 1.36-point change in the S&P 500. it applies to Excel 2013 and Excel 2016.The bottom line here is that changes in Visa stock seem to be highly correlated with the S&P 500. See Microsoft documentation for more information. Quick Analysis is a similar set of tools available in Excel 2013. The button will open the Data Analysis dialog, which offers access to a variety of analysis tools. Go back to the first screenshot in the instructions to see how it will look. Once the add in has been successfully installed you will see data analysis when you click on the data tab (usually to the far right of the toolbar). If you are prompted that the Analysis ToolPak is not currently installed on your computer, click Yes to install it. Tip: If Analysis ToolPak is not listed in the Add-Ins available box, click Browse to locate it.
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