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Why was the variable “# of customer service representatives” dropped from the model?   Write the regression equation.   Sales of men’s clothing (predicted) =   Are the regression coefficients significantly different from 0?   If one mails 10,000

Why was the variable “# of customer service representatives” dropped from the model?   Write the regression equation.   Sales of men’s clothing (predicted) =   Are the regression coefficients significantly different from 0?   If one mails 10,000

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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  1. Why was the variable “# of customer service representatives” dropped from the model?

 

  1. Write the regression equation.

 

Sales of men’s clothing (predicted) =

 

  1. Are the regression coefficients significantly different from 0?

 

  1. If one mails 10,000 catalogs and has 15 phone lines open, what would the predicted sales of men’s clothing be?

 

  1. How would you interpret the regression coefficient for number of catalogs mailed?

 

  1. What is the final R2 of the model? How would you interpret this?

 

  1. Which of the two independent variables is the most important predictor of the dependent variable? Why?

 

### Model Summary | Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | R Square Change | F Change | df1 | df2 | Sig. F Change | |-------|-------|----------|--------------------|----------------------------|-----------------|-----------|-----|-----|---------------| | 1 | .803a | .645 | .642 | 3785.49685 | .645 | 214.216 | 1 | 118 | .000 | | 2 | .877b | .770 | .766 | 3061.36064 | .125 | 63.426 | 1 | 117 | .000 | a. Predictors: (Constant), Number of Catalogs Mailed b. Predictors: (Constant), Number of Catalogs Mailed, Number of Phone Lines Open for Ordering ### Coefficients #### Model 1 | Coefficients | B | Std. Error | Standardized Coefficients | t | Sig. | 95.0% Confidence Interval for B | Zero-order | Partial | Part | Collinearity Statistics | |-----------------|-----------|------------|---------------------------|-------|------|----------------------------------|------------|---------|------|-------------------------| | (Constant) | -14064.614| 2099.365 | | -6.699| .000 | -18221.928, -9907.301 | | | | | | Number of Catalogs Mailed | 2.991 | .204 | .803 | 14.636| .000 | 2.587, 3.396 | .803 | .803 | .803 | 1.000 | #### Model 2 | Coefficients | B | Std. Error | Standardized Coefficients | t | Sig. | 95.0% Confidence Interval for B | Zero-order | Partial | Part | Collinearity Statistics | |-----------------|-----------|------------|---------------------------|-------|------|----------------------------------|------------|---------|------|-------------------------| | (Constant) | -15361.047| 1705.559 | | -9.006| .000 | -18738
Transcribed Image Text:### Model Summary | Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | R Square Change | F Change | df1 | df2 | Sig. F Change | |-------|-------|----------|--------------------|----------------------------|-----------------|-----------|-----|-----|---------------| | 1 | .803a | .645 | .642 | 3785.49685 | .645 | 214.216 | 1 | 118 | .000 | | 2 | .877b | .770 | .766 | 3061.36064 | .125 | 63.426 | 1 | 117 | .000 | a. Predictors: (Constant), Number of Catalogs Mailed b. Predictors: (Constant), Number of Catalogs Mailed, Number of Phone Lines Open for Ordering ### Coefficients #### Model 1 | Coefficients | B | Std. Error | Standardized Coefficients | t | Sig. | 95.0% Confidence Interval for B | Zero-order | Partial | Part | Collinearity Statistics | |-----------------|-----------|------------|---------------------------|-------|------|----------------------------------|------------|---------|------|-------------------------| | (Constant) | -14064.614| 2099.365 | | -6.699| .000 | -18221.928, -9907.301 | | | | | | Number of Catalogs Mailed | 2.991 | .204 | .803 | 14.636| .000 | 2.587, 3.396 | .803 | .803 | .803 | 1.000 | #### Model 2 | Coefficients | B | Std. Error | Standardized Coefficients | t | Sig. | 95.0% Confidence Interval for B | Zero-order | Partial | Part | Collinearity Statistics | |-----------------|-----------|------------|---------------------------|-------|------|----------------------------------|------------|---------|------|-------------------------| | (Constant) | -15361.047| 1705.559 | | -9.006| .000 | -18738
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