Question

In: Statistics and Probability

American customer satisfaction index: Starbucks in the U.S. 2006-2016 2006 77 2007 78 2008 77 2009...

American customer satisfaction index: Starbucks in the U.S. 2006-2016

2006

77

2007

78

2008

77

2009

76

2010

78

2011

80

2012

76

2013

80

2014

76

2015

74

2016

75

1. Plot this set of data as a scatterplot in excel. Insert excel graph here:

2. Find the correlation coefficient.

3. Is it positive or negative?

4. What does the sign tell us?

5.What does the correlation imply about the relationship between the time and the satisfaction?

6. Is the correlation significant? Why or why not? (Answer in 1-2 complete sentences.) (Use the Pearson calculator).

7. Draw the trendline in excel. Can the regression line be used for prediction? No, it is too weak. Insert excel graph here:

Solutions

Expert Solution

1. Plot this set of data as a scatterplot in excel. Insert excel graph here:

Select data and go to insert tab and choose scatter plot

2. Find the correlation coefficient.

r = -0.365 (refer the formula highlighted in yellow)

3. Is it positive or negative?

negative

4. What does the sign tell us?

There would be a negative trend between the variables

5.What does the correlation imply about the relationship between the time and the satisfaction?

There is weak negative linear relationship between time and the satisfaction

. Is the correlation significant? Why or why not?

No the correlation is not significant.

Run a regression analysis in excel followed by below procedures:

1. Go to data tab --> data analysis --> choose Regression

Significance F is nothing but P-value

P-value is 0.27

If the p-value is NOT less than the significance level (α=0.05)

  • Decision: DO NOT REJECT the null hypothesis.
  • Conclusion: "There is insufficient evidence to conclude that there is a significant linear relationship between x and y because the correlation coefficient is NOT significantly different from zero."

Draw the trendline in excel. Can the regression line be used for prediction? No, it is too weak. Insert excel graph here:

The regression line can be used for prediction


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