GPA Starting Salary (in $) NOTE: Before we start to do much computational/mathematical work, 2.69 $ 3.01 $ 35,200.00 what is the general relationship we expect to find here between these 43,000.00 two variables? 2.90 $ 39,500.00 2.82 $ 3.91 $ 3.05 $ 37,600.00 47,000.00 42,650.00 3.15 $ 2.98 $ 41,400.00 37,000.00 3.45 $ 52,000.00 3.21 $ 41,500.00 3.64 $ 2.42 $ 46,450.00 37,500.00 52,300.00 3.84 $ 3.29 $ 46,300.00 3.64 $ 47,500.00 2.67 $ 38,500.00 Mean Median Mode Variance Standard Deviation Low Value High Value The values in Column A show the grade point averages several marketing students earned in their major prior to graduation. The numbers in Column B are the starting salaries these same students earned soon after commencement with the firms that hired them for their first full-time jobs. Produce a graph with the regression model and R-squared value for this data set. Then answer the following questions. a. In this model, which variable do we presume is the "dependent" variable and which is "independent".and why? p. What is the regression model/equation? . What is the associated R-squared value? What is it saying about this regression model?

GPA Starting Salary (in $) NOTE: Before we start to do much computational/mathematical work, 2.69 $ 3.01 $ 35,200.00 what is the general relationship we expect to find here between these 43,000.00 two variables? 2.90 $ 39,500.00 2.82 $ 3.91 $ 3.05 $ 37,600.00 47,000.00 42,650.00 3.15 $ 2.98 $ 41,400.00 37,000.00 3.45 $ 52,000.00 3.21 $ 41,500.00 3.64 $ 2.42 $ 46,450.00 37,500.00 52,300.00 3.84 $ 3.29 $ 46,300.00 3.64 $ 47,500.00 2.67 $ 38,500.00 Mean Median Mode Variance Standard Deviation Low Value High Value The values in Column A show the grade point averages several marketing students earned in their major prior to graduation. The numbers in Column B are the starting salaries these same students earned soon after commencement with the firms that hired them for their first full-time jobs. Produce a graph with the regression model and R-squared value for this data set. Then answer the following questions. a. In this model, which variable do we presume is the "dependent" variable and which is "independent".and why? p. What is the regression model/equation? . What is the associated R-squared value? What is it saying about this regression model?

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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Question

q3: looking for assistance

GPA
Starting Salary (in $)
NOTE: Before we start to do much computational/mathematical work,
2.69 $
3.01 $
35,200.00
what is the general relationship we expect to find here between these
43,000.00
two variables?
2.90 $
39,500.00
2.82 $
3.91 $
3.05 $
37,600.00
47,000.00
42,650.00
3.15 $
2.98 $
41,400.00
37,000.00
3.45 $
52,000.00
3.21 $
41,500.00
3.64 $
2.42 $
46,450.00
37,500.00
52,300.00
3.84 $
3.29 $
46,300.00
3.64 $
47,500.00
2.67 $
38,500.00
Mean
Median
Mode
Variance
Standard Deviation
Low Value
High Value
The values in Column A show the grade point averages several marketing students earned in their major prior to graduation. The numbers in
Column B are the starting salaries these same students earned soon after commencement with the firms that hired them for their first full-time jobs.
Produce a graph with the regression model and R-squared value for this data set. Then answer the following questions.
a. In this model, which variable do we presume is the "dependent" variable and which is "independent".and why?
p. What is the regression model/equation?
. What is the associated R-squared value? What is it saying about this regression model?

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