Option #1: Build a 3D Road Network Multiple Linear Regression Model Using SAS Studio - Module 8

Could you please give me the codes one by one which would be fitting to all this task?

Please do not copy the previous answers to same question in Chegg as the previous answers did not help me.

Could we later get in touch about why the codes do not work for me (most of the time they did not work for me :-(?

I have main issue with selecting my data set here bellow and then I have only one variable in my offer. That is maximum and is it not enough to analyze anything.

In this Portfolio Project, you will analyze the 3D Road Network data set of the UCI Machine Learning Repository to build a multiple linear regression model using SAS Studio. The data set is available on the Internet.

This data set contains satellite image processing information (e.g. longitude and latitude) about road networks in North Jutland, Denmark.

The project proceeds as follow:

Here, you will build a multiple linear regression model from the data set. Your multiple linear regression model should include the following:

1. A model built using the default model selection method (none).

2. A model built using any one of the model selection methods (forward, backward, or stepwise selection methods) that you chose.

Take screenshots to demonstrate successful completion of your work.

The screenshot should show the actions you took and the results you obtained.

The screenshot should have the current date and time.

* No code was generated. * You must select a valid data source. / /* * Code cannot be generated because the following * roles are not set: * Dependent variable: (minimum: 1) */ /* * Code cannot be generated because the following * requirements are not met: * Select at least one continuous or one classification variable. * B https://odamid-usw2-2.oda.sas.com/SASStudio/main?locale=en_US\&zone=GMT\%252B01\%253A008ticket=ST-22067-XxUWdOeOZA2krmkK 77% a - Server Files and Folders a Folder Shortcuts - Table of Contents Diles (Home) New Folder 3D.sas7bdat [I breast-cancer.csv [9 breast-cancer.names.csv income.sas [g3 3.csv [x 3D_spatial_network 2.xlsx Binary Logistic Regression 1.ctk car.sas 7 bdat E spatialnetwork.sas 7b dat - Tasks and Utilities \begin{tabular}{|l|l|l|r|l|l|} \hline Variable & Type & Len & Format & Informat \\ \hline 1 & VAR1 & Char & 49 & $49. & $49. \\ \hline \end{tabular} - Snippets