The visual result sums up the strength of the relationship, albeit at the expense of not providing as much detail as the table above. Lastly, select "Display R-squared value on chart". Remove the chart title from all but one of the charts, arrange this.
HOW TO PLOT A GRAPH IN EXCEL WITH TWO VARIABLES SERIES
To add the R 2 value, select "More Trendline Options" from the "Trendline menu. In Excel Create separate plots for each subplot with one data series plotted on each. In the dialog box, select "Trendline" and then "Linear Trendline". Since we know that the Ys are in consecutive rows, this will be the number of rows we want in the chart. This function counts how many rows in the range in Column C contain the value Y. To add a regression line, choose "Add Chart Element" from the "Chart Design" menu. To calculate this we use the COUNTIF function. We can chart a regression in Excel by highlighting the data and charting it as a scatter plot. 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. A scatter chart always has numerical data on both axes, with the objective of determining a relationship between the two variables.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.The bottom line here is that changes in Visa stock seem to be highly correlated with the S&P 500.