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20. For each product… what is the average profit per 1 item sold and what is the average profit margin per 1 item sold? 21. Which products have the highest profit margin (top 50)? 22. Which products have the highest cost (top 50)?

I am trying to get a column of percentage (GRADES) using the COUNTIF function to excel count cells with value or text, then SUM only those cells. Here's the formula I have so far, but it is not working; =COUNTIFS(C8:C41,"<>"&"",F8:F41,"AVERAGE")

I need to find the average weekly and per post "organic" reach and engagement. Amount of posts per week vary.

I need to do a weekly average for reach and engagement

Modify the two Values fields to determine the average Issue Price and average Est. Value by type. Change the custom name to Average Issue Price and Average Est. Value, respectively.

I need to know the formula as to average the individual GREEN, RED, and BLUE cell data together in the TOTAL GREEN, RED, and BLUE cell at the bottom that have data in the cells. So, if there is no data in the individual cells the AVERAGE formula ignores these cells, and only averages the ones with numbers. There is not a specific 'range' for this, but the individual cells for each color that needs to be AVERAGED.

I contacted you yesterday about average function excel 2010, and for real numbers it works fine, but I tried to get the expert to explain to me how to use the =AVERAGE function when the cells have formulas in them that generate '0' value, so the AVERAGE function would ignore these cells in the averaging method, but got no answer. So, I need to know how use the =AVERAGE function so that when there are formulas in the selected cells to average, that EXCEL would ignore those cells like they have real numbers in them, which seems to work fine. Please advise...

Trying to calculate a work date based on 2 known inputs - start date and number of working days allowed on the project. The dilemma comes when looking at the data chart that gives the average number of work days per month. It varies from 5 days to 23 days depending on the month. Need to create a formula(s) that takes the inputted date and calculates an accurate completion date based on the variable work days.

The accompanying dataset contains six years of quarterly sales from your store. You would like to forecast future sales as way to inform you as you make staffing and budgeting plans. Please answer all of the following questions. The dataset can be found here. For numerical questions, answer with 4 digits to the right of the decimal. Statistically test at the alpha=0.05 statistical significance level whether or not there exists a linear trend in the time series data. What is the p-value of your statistical test? Based on your answer to the question above, can you conclude that a linear trend exists in this time series data (Y or N)? ===== Regardless of you answer above, create a multiple linear regression model that captures both linear trend and additive seasonality. You should use Q4 as your base season and fit the model with all 24 data points. All of the independent variables are statistically significant at the alpha=0.01 level (Y or N). Which quarter (1, 2, 3, or 4) has the largest sales on average? Which quarter (1, 2, 3, or 4) has the smallest sales on average? What is the value of the Adjusted R-squared? Using this multiple linear regression model, what is the value of the MAPE? (Please report it as a percentage with 4 digits to the right of the decimal and no percentage sign.) Using this multiple linear regression model, forecast each quarter for the next year (2016). What is the forecast for Q3? Carefully explain the how to interpret the value of the estimated coefficient on the time period index. Carefully explain the how to interpret the value of the estimated coefficient on the variable representing quarter one. ===== Using the same dataset as before, you now would like to add an exogenous variable as a possible explanatory variable to the model. This variable is in the column labeled ‘Ads – Lag 1’. This variable represents the number of advertising campaigns ran the previous quarter. (The thought is that the ads run last quarter affect the current quarter’s sales.) Calculate the correlation coefficient between the variables ‘Ads – Lag 1’ and ‘Sales’. What is its value? Continuing with this thought, now create a multiple linear regression model that captures both linear trend and additive seasonality. You should use Q4 as your base season and fit the model with all 24 data points. Additionally, add the variable ‘Ads – Lag 1` as an independent variable. Is the variable ‘Ads – Lag 1` statistically significant at the alpha=0.05 level (Y or N)? What is the value of the Adjusted R-squared value? 0.4699 Using this multiple linear regression model that captures trend and additive seasonality and the additional independent variable for advertising, what is the value of the MAPE? (Please report it as a percentage with 4 digits to the right of the decimal and no percentage sign.) Using only the data that you have been given, can you make forecasts for the year 2016 using this model (Y or N)? If your answer was “Y” above, then what is the forecast for Q1 of 2016. If it was “N”, explain why not.

On cell H20 I am looking to round the average for the hundredths place to an even number if the thousands place equals 5.