Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

*Output1 [Document1] - IBM SPSS Statistics Viewer File Edit View Data Transform HE Output Regression Title Notes Active Dataset Variables Entered/Rem Model Summary Insert

image text in transcribedimage text in transcribedimage text in transcribedimage text in transcribed

*Output1 [Document1] - IBM SPSS Statistics Viewer File Edit View Data Transform HE Output Regression Title Notes Active Dataset Variables Entered/Rem Model Summary Insert Format Analyze Graphs Utilities Extensions Window Help Regression [DataSet1] C:\Users\jw20rj\Downloads\SPSS Chap 16 Data File A.sav Variables Entered/Removed Q ANOVA Variables Variables Coefficients Model Entered Removed Residuals Statistics 1 median Method Enter Charts housing cost in Title *zresid Histogram *zresid by *zpred S $k within 5km radius, Branches of multiple store, Number of employees in branch, Distance in kms from nearest competitor, Floor area in sq mts, Number of carparking spaces a. Dependent Variable: Value of monthly sales in $k in 2007 b. All requested variables entered. Double click to edit Chart H Model Summary" Model R 1 .991a R Square .983 Adjusted R Square Std. Error of the Estimate .968 537.69721 a. Predictors: (Constant), median housing cost in $k within 5km radius, Branches of multiple store, Number of employees in branch, Distance in kms from nearest competitor, Floor area in sq mts, Number of carparking spaces b. Dependent Variable: Value of monthly sales in $k in 2007 Type here to search () ANOVA IBM SPSS Statistics Processor is ready Unicode:ON Classic H: 503, W: 853 pt. 8:31 PM 4/3/2023 *Output1 [Document1] - IBM SPSS Statistics Viewer File Edit View Data Transform Insert HE Output Format Analyze Graphs Utilities Extensions Window Help Q b. Dependent Variable: Value of monthly sales in $k in 2007 Regression Title Notes Active Dataset Variables Entered/Rem Model Summary ANOVA Coefficients Residuals Statistics Charts Title *zresid Histogram *zresid by *zpred S ANOVA Model 1 Residual Total Sum of Squares df Mean Square F Regression 114716546.94 6 19119424.490 66.130 Sig. *Output1 [Document1] - IBM SPSS Statistics Viewer File Edit View Data Transform HE Output Regression Title Notes Active Dataset Variables Entered/Rem Insert Format Analyze Graphs Utilities Extensions Window Help a Predicted Value Residual Std. Predicted Value Std. Residual Minimum Maximum Mean 2652.0798 11307.1230 5826.9286 -707.65735 765.92017 .00000 -1.069 1.845 .000 -1.316 1.424 Std. Deviation 2970.58071 394.56188 N 14 14 1.000 14 .000 .734 14 a. Dependent Variable: Value of monthly sales in $k in 2007 Model Summary ANOVA Coefficients Residuals Statistics Charts Charts Title *zresid Histogram *zresid by *zpred S Double click to edit Chart H Frequency 6 5 2 1 Histogram Dependent Variable: Value of monthly sales in $k in 2007 Mean = -5.25E-16 Std. Dev. = 0.734 N=14 0 -1.5 -1.0 -0.5 0.0 0.5 Type here to search b Regression Standardized Residual 1.0 1.5 IBM SPSS Statistics Processor is ready Unicode:ON Classic H: 503, W: 853 pt. 8:32 PM 4/3/2023 *Output1 [Document1] - IBM SPSS Statistics Viewer File Edit View Data Transform HE Output Regression Title Notes Active Dataset Insert Format 2 1 Analyze Graphs Utilities Extensions Window Help Variables Entered/Rem Model Summary 0 ANOVA -1.5 -1.0 -0.5 0.0 0.5 Coefficients Residuals Statistics Charts Title *zresid Histogram *zresid by *zpred S Double click to edit Chart H Regression Standardized Residual 1.5 1.0 0.5 0.0 -0.5 -1.0 Regression Standardized Residual 0 1.0 1.5 Scatterplot Dependent Variable: Value of monthly sales in $k in 2007 -1.5 -2 0 1 2 Regression Standardized Predicted Value Type here to search b IBM SPSS Statistics Processor is ready Unicode:ON Classic H: 503, W: 853 pt. 8:32 PM 4/3/2023

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

A First Course in General Relativity

Authors: Bernard Schutz

2nd edition

521887054, 978-0521887052

More Books

Students also viewed these Mathematics questions

Question

What do you want him or her to remember most about you?

Answered: 1 week ago

Question

What points will you include in your presentation?

Answered: 1 week ago