Question
Option #1: Build a 3D Road Network Multiple Linear Regression Model Using SAS Studio - Module 8 I cannot pick the right data set in
Option #1: Build a 3D Road Network Multiple Linear Regression Model Using SAS Studio - Module 8
I cannot pick the right data set in Linear Regression Model (I am trying to perform multiple linear regression model in SAS Studio). My correct data set (WORK.IMPUT) is marked with red exclamation mark. At the same time, I cannot see any variables. I have already uploaded the data and cleansed and prepared them for analysis but the outcome just did not come.
Correct Data Set Uploaded:
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. * 4 fry odan501-usw2.2 Filenarme: 3D.esv F Coldor. Shortcuts Sourcelocation: Jhome/u62861781 - RI Fies (Home) Fnd af line stelimiter: - Now in older F. BRaserhole? [y brocat-cancercesy DUTPUT DATA. [y biriestitancarinemesesty SASscrocr SAEADP income.sasizbdat Dyly set rome: IMPORT b A serues, 20 Library: WORK [9 3D.c [x.3D_z_1siis_notwaik.2.xlax - OeTiciss \& Birary Logistic Regression 1etk. Fin tive:e: car.essibdat EXE Exvtislnctworksses7bdat Generate SfS vaniable names Start readinq data at row: Guessing rows: LCS RESULIS Hueb_drap_table(HORK. TNPOFT); Tysks sred blinits Snippots FILFRAMF REFFIIF '/hane/u628fi781/3D.Csv'; Litenries PROC IMPORT DATATTLE=FETTILEStep by Step Solution
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