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I just want to get a general idea of how to use it if you can please

If 2 numbers are the same in Colum B and has the Value "D" in colum E, mark Both with "D" in colum F

I am trying to say if the Priority level is H and if the item is still OPEN then turn the row red and flag.

what im trying to do for example: i want to be able to put a 1 in the columns of how many i sold. the price is at the bottom. so if i sold 2 websites and 1 Prime, i want to put a 2 in websites and 1 in prime then add the total at the end. then add the amount at the bottom. i hope this makes scene. thanks

When i run the macro i get Run-time error '1004': The specified file wasn't found. this is the macro Sub PicturePopulator() Dim B As Range, r As Range, a As Range, _ t As Long, l As Long, w As Long, h As Long Set B = Range("B1:B1700") For Each r In B If r.Value <> "" Then MyFileAndPath = r.Value Set a = r.Offset(0, -1) t = a.Top l = a.Left h = a.Height w = a.Width ActiveSheet.Shapes.AddPicture MyFileAndPath, msoFalse, msoTrue, l, t, w, h End If Next r End Sub

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 want to set a formula to my document but can't figure out where to start. Basically if A4 to J4 are filled with text or numeric value than the row will be the color green. If cells A4 to J4 are not all filled with text or numeric value than the row will be the color red.

This Feature Billing spreadsheet is something we use at our company for quoting our clients. We build custom software, and clients typically have very similar feature requests. The New Quote Tab is where a sales person would work. As they talk to the client, the put an "x" in the Selection column (Column H). This generates a price. With that said, each of those selections maps to another set of requirements that we want to communicate with our developers. The "Base-Components-With-Subtasks" tab represents the start of listing out the subtasks. If the sales person puts in X in row 2 of the New Quote tab, our developers need to know to build rows 2-5 of on the "Base-Components-With-Subtasks" tab. The output of this is supposed to be on the "Populated Story Map Tab." Currently I have it so it lists out all the items (and only those items) that are being selected from the New Quote tab, which is a great first step. But I also need it to list out all of the sub-tasks (in individual rows) that the selection maps to on the Base-Components-With-Subtasks. For example, on the Populated Story Map tab, there should be 4 rows for story 1.

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.

I want to know if I can display grouped rows as actual rows