Accessing Excel's Awesome "Regression Engine"
Alt-AY2 (AyeAye - a form of Madagascan Lemur)
This brings up the "Data Analysis" listbox with a range of statistical features inside including Random Number Generation and Analysis of Variance.
Type R three times (one to skip Random Number Generation, the second to skip Rank and Percentile and the third to access Regression).
Interpreting Results
The output of Regression is a summary table of "Regression Statistics". Here is a summary of what the statistics mean:
* Multiple R: This is the Coefficient of Simple Correlation. It is the positive square root of the R-squared
* R-squared: Coefficient of Simple Determination. According to wikipedia, it is "the proportion of variability that is accounted for by the statistical model" or "percentage variation in y that is explained by percentage variation in x"
* Adjusted R-squared: R-squared adjusted by the number of predictors (R-squared tends to overestimate the strength of the association, especially when there are >1 independent variables)
What is the relation between coefficient of correlation and the coefficient of determination? One is the square root of the other. So if R-squared is 1%, then the "Multiple R" or "coefficient of correlation" will be 10%.
Standard Error
Standard error of an estimate tells you the accuracy from your prediction.
Troubleshooting
Regression - LINEST() function returns error - usually because ranges are different sizes.
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