Based on the tables and graphs below, interpret and report the results. You need to identify the test, discuss the assumptions, follow the decision map steps for interpretation, and then report the results in an academic style. Model 1 Variables Entered/Removed Variables Entered Model 1 Distance in kms from nearest competitor Variables. Removed a. Dependent Variable: Value of monthly sales in $k in 2007 b. All requested variables entered. Sum of Squares 68133866.85 Method Enter 48606508.07 116740374.9 ANOVA df 1 12 13 Model 1 Regression Residual Total a. Dependent Variable: Value of monthly sales in $k in 2007 b. Predictors: (Constant), Distance in kms from nearest competitor Mean Square 68133866.85 4050542.340 R 764 Model Summary F 16.821 R Square 584 549 a. Predictors: (Constant), Distance in kms from nearest competitor b. Dependent Variable: Value of monthly sales in Skin 2007 Sig. Adjusted R Square .001 Std. Error of the Estimate 2012.59592

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Based on the tables and graphs below, interpret and report the results. You need to identify the test, discuss the assumptions,
follow the decision map steps for interpretation, and then report the results in an academic style.
Model
1
Variables Entered/Removed
Variables
Entered
Model
1
Distance in
kms from
nearest
competitor
Variables.
Removed
a. Dependent Variable: Value of monthly sales
in $k in 2007
b. All requested variables entered.
Regression
Residual
Sum of
Squares
68133866.85
Method
Enter
48606508.07
116740374.9
ANOVA
df
Model
1
1
12
Total
13
a. Dependent Variable: Value of monthly sales in $k in 2007
b. Predictors: (Constant), Distance in kms from nearest competitor
Mean Square
68133866.85
4050542.340
R
.764
Model Summary
F
16.821
R Square
584
549
a. Predictors: (Constant), Distance in kms from nearest
competitor
b. Dependent Variable: Value of monthly sales in Skin 2007
Sig.
Adjusted R
Square
.001
Std. Error of
the Estimate
2012.59592
Transcribed Image Text:Based on the tables and graphs below, interpret and report the results. You need to identify the test, discuss the assumptions, follow the decision map steps for interpretation, and then report the results in an academic style. Model 1 Variables Entered/Removed Variables Entered Model 1 Distance in kms from nearest competitor Variables. Removed a. Dependent Variable: Value of monthly sales in $k in 2007 b. All requested variables entered. Regression Residual Sum of Squares 68133866.85 Method Enter 48606508.07 116740374.9 ANOVA df Model 1 1 12 Total 13 a. Dependent Variable: Value of monthly sales in $k in 2007 b. Predictors: (Constant), Distance in kms from nearest competitor Mean Square 68133866.85 4050542.340 R .764 Model Summary F 16.821 R Square 584 549 a. Predictors: (Constant), Distance in kms from nearest competitor b. Dependent Variable: Value of monthly sales in Skin 2007 Sig. Adjusted R Square .001 Std. Error of the Estimate 2012.59592
Model
1
Coefficients"
Frequency
Unstandardized Coefficients
B
Std. Error
(Constant)
Distance in kms from
nearest competitor
a. Dependent Variable: Value of monthly sales in $k in 2007
1577.544
922.347
1167.401
224.890
Standardized
Coefficients
Beta
.764
t
1.351
4.101
0
Regression Standardized Residual
Sig.
202
001
Histogram
Dependent Variable: Value of monthly sales in $k in 2007
Mean-2.15E-16
Std. Dev.-0.961
N-14
Regression Standardized Residual
:
Regression Standardized Residual
Scatterplot
Dependent Variable: Value of monthly sales in $k in 2007
:
Regression Standardized Predicted Value
Transcribed Image Text:Model 1 Coefficients" Frequency Unstandardized Coefficients B Std. Error (Constant) Distance in kms from nearest competitor a. Dependent Variable: Value of monthly sales in $k in 2007 1577.544 922.347 1167.401 224.890 Standardized Coefficients Beta .764 t 1.351 4.101 0 Regression Standardized Residual Sig. 202 001 Histogram Dependent Variable: Value of monthly sales in $k in 2007 Mean-2.15E-16 Std. Dev.-0.961 N-14 Regression Standardized Residual : Regression Standardized Residual Scatterplot Dependent Variable: Value of monthly sales in $k in 2007 : Regression Standardized Predicted Value
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