On the Data tab, in the Analysis group, click Data Analysis. Note: can't find the Data Analysis button? Click here to load the. Select Regression and click OK. Select the Y Range (A1:A8). This is the predictor variable (also called dependent variable). Select the X Range(B1:C8).

The 2016 version of Excel for the Mac includes the Data Analysis ToolPak which you can use if you are up to date! 4.4k Views View 3 Upvoters Lee Witt, Have had my Ph.D. In statistics since 1989 (my beard is over 40 years old). Sep 22, 2014 - Create a cumulative frequency table in Excel with easy steps and video tutorial. Hundreds more (always free) videos, articles and statistics.

These are the explanatory variables (also called independent variables). These columns must be adjacent to each other. Check Labels. Click in the Output Range box and select cell A11. Check Residuals. Excel produces the following Summary Output (rounded to 3 decimal places).

R Square R Square equals 0.962, which is a very good fit. 96% of the variation in Quantity Sold is explained by the independent variables Price and Advertising. The closer to 1, the better the regression line (read on) fits the data. Significance F and P-values To check if your results are reliable (statistically significant), look at Significance F ( 0.001). If this value is less than 0.05, you're OK. If Significance F is greater than 0.05, it's probably better to stop using this set of independent variables.

Delete a variable with a high P-value (greater than 0.05) and rerun the regression until Significance F drops below 0.05. Most or all P-values should be below below 0.05.

In our example this is the case. ( 0.000, 0.001 and 0.005). Coefficients The regression line is: y = Quantity Sold = 8536.214 -835.722 * Price + 0.592 * Advertising. In other words, for each unit increase in price, Quantity Sold decreases with 835.722 units. For each unit increase in Advertising, Quantity Sold increases with 0.592 units. This is valuable information. You can also use these coefficients to do a forecast.

For example, if price equals $4 and Advertising equals $3000, you might be able to achieve a Quantity Sold of 8536.214 -835.722 * 4 + 0.592 * 3000 = 6970. Residuals The residuals show you how far away the actual data points are fom the predicted data points (using the equation). For example, the first data point equals 8500.

Using the equation, the predicted data point equals 8536.214 -835.722 * 2 + 0.592 * 2800 = 8523.009, giving a residual of 8500 - 8523.009 = -23.009. You can also create a scatter plot of these residuals. Good gba emulator mac.

The Rational Method Equation and Parameters The primary equation for Rational Method calculations is: Q = CiA, where: • A is the area that drains to the design point of interest (the drainage area) in acres (for SI units: ha) • C is the runoff coefficient for that drainage area, that is, the fraction of rainfall on the drainage area that becomes storm water runoff. It is dimensionless. • i is the design rainfall intensity in inches/hr (for SI units: mm/hr) • Q is the peak storm water runoff rate from the drainage area due to the design storm in cfs (for SI units: m3/s) A note on units: The equation, Q = CiA is for the U.S. Units given above. This equation actually gives Q in acre-in/hr. The unit conversion comes out to be 1.008 cfs/(acre-in/hr), so the equation, Q = 1.008CiA could be used, but in view of the accuracy with which the runoff coefficient can be determined, the conversion constant is typically taken to be simply 1.

With the S.I. Units given above for Q, i, and A, the Rational Method equation is Q = 0.0028 Cia. Calculation of the peak storm water runoff rate, Q, is quite straightforward if values are known for C, i, and A.

Some information on typical ranges for C values is given in the table at the right. The next section presents and discusses an Excel spreadsheet for calculating the design rainfall intensity, i, based on rainfall intensity duration frequency data for the design location, and then calculating the design storm water runoff rate, Q. For more background information about the Rational Method and the parameters, Q, C, i, and A, see the article, '.'