- #Xlminer analysis toolpak regression for mac#
- #Xlminer analysis toolpak regression mac os#
- #Xlminer analysis toolpak regression movie#
- #Xlminer analysis toolpak regression install#
- #Xlminer analysis toolpak regression free#
#Xlminer analysis toolpak regression free#
After 30 days you will be able to use the free version that includes the Analysis ToolPak functions, or order one of the more complete solutions of XLSTAT. Open the Excel file that contains your data and click on the XLSTAT icon to launch the XLSTAT toolbar.įor 30 days, you'll have access to all XLSTAT functions.
#Xlminer analysis toolpak regression mac os#
Select the XLSTAT version that matches your Mac OS and download it.įollow the MAC OS installation instructions. XLSTAT contains more than 200 basic and advanced statistical tools that include all of the Analysis ToolPak features.
#Xlminer analysis toolpak regression for mac#
Option 1: Download the XLSTAT add-on statistical software for Mac and use it in Excel 2011.
![xlminer analysis toolpak regression xlminer analysis toolpak regression](https://blog.sheetgo.com/wp-content/uploads/2021/10/XLMiner-Analysis-ToolPak-6.png)
There are a few third-party add-ins that provide Analysis ToolPak functionality for Excel 2011. I can't find the Analysis ToolPak in Excel for Mac 2011 Now the Data Analysis command is available on the Data tab.
#Xlminer analysis toolpak regression install#
If you get a prompt that the Analysis ToolPak is not currently installed on your computer, click Yes to install it. If Analysis ToolPak is not listed in the Add-Ins available box, click Browse to locate it. In the Add-Ins available box, select the Analysis ToolPak check box, and then click OK. Load the Analysis ToolPak in Excel for MacĬlick the Tools menu, and then click Excel Add-ins. The ToolPak displays in English when your language is not supported. See Supported languages for more information. Some languages aren't supported by the Analysis ToolPak. See I can't find the Analysis ToolPak in Excel for Mac 2011 for more information. That's our answer to part people.The Analysis ToolPak is not available for Excel for Mac 2011. So I answered apart piece that, Yes, we do prefer the multiple regression results because a larger percentage of the variability can be explained. So do we prefer the multiple regression results? Yes, because a larger percentage off the variability can be explained with the multiple regression equation. So from our multiple regression results, when we interpret our coefficients, we basically say here that 91.9% off the variability in the data is explained when using x one and X two and here, 88.7% off the variability he's explained when we used them two independent variables, but when we only have one independent variable basically have only 65.3% or for the adjusted our square, 59.5% off the variability is explained. So let's go ahead and first interpret our multiple regression results before we answer these questions. So in part B, when Onley X one was Thean dependent, variable R squared was 0.653 and the adjusted R squared waas 0.595 and were asked if we prefer the multiple regression results. We're told that when there was only one independent variable so Let's go ahead and write that down. So if we compute that, we get one minus one minus 10.919 7/5 0.887 So this is our answer to part a. So we have 123 5678 observations and peace number off independent variables we have to. So that's equals to one one minus car squared and minus one over and minus P minus one in this case, and it's the number of observation.
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So we get 23.435 over 25.5, which gives us in R squared value off 0.919 now in the second part, off party where us to compute the adjusted R squared. The television advertising and the newspaper advertising were also given the sum of total squares and the sum of squares due to regression, and in part they were basically first past to compute r squared or the multiple coefficient off regression. So in this question, were given a multiple regression equation that expresses the revenue in terms off. Predict weekly gross revenue for week when $4.7 thousand spent on television advertising and $3.7 thousand is spent on newspaper advertising (to decimals)? Is the estimated regression equation coefficient for television advertising expenditures the same in part (a) and in part (b)? X] Open spreadsheet Develop an estimated regression equation with the amount of television advertising as the independent variable (to decimals)ĭevelop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to decimals).Ĭ. Use the XLMiner Analysis ToolPak to perform your regression analysis in the designated areas of the spreadsheet Historical data for sample of eight weeks are entered into the Microsoft Exce Online file below.
#Xlminer analysis toolpak regression movie#
3 months, 1 week ago The owner of Showtime Movie Theaters Inc would like to predict weekly gross revenue as function of advertising expenditures.