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a) Are the data normal? Run Descriptive statistics in Excel and support your answer. b) Show the results of the correlation in Excel and explain what the results MAY mean. c) Is there absolutely a relationship between this data? Why, why not? d) Plot the data on a scatter chart? Does the chart suggest a relationship of the data? e) Might an outlier have an effect on this data? f) If there were an outlier, which data point might be the outlier? If you were to remove the outlier how would the correlation and the scatter chart be different?

a) Are the data normal? Run Descriptive statistics in Excel and support your answer. b) Show the results of the correlation in Excel and explain what the results MAY mean. c) Is there absolutely a relationship between this data? Why, why not? d) Plot the data on a scatter chart? Does the chart suggest a relationship of the data? e) Might an outlier have an effect on this data? f) If there were an outlier, which data point might be the outlier? If you were to remove the outlier how would the correlation and the scatter chart be different?

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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**Data Analysis Exercise:** a) **Normality Check:** Are the data normal? Run descriptive statistics in Excel and support your answer. b) **Correlation Analysis:** Show the results of the correlation in Excel and explain what the results may mean. c) **Data Relationship:** Is there absolutely a relationship between this data? Why, why not? d) **Scatter Plot Visualization:** Plot the data on a scatter chart. Does the chart suggest a relationship of the data? e) **Outlier Impact:** Might an outlier have an effect on this data? f) **Outlier Identification and Removal:** If there were an outlier, which data point might be the outlier? If you were to remove the outlier, how would the correlation and the scatter chart be different?
Transcribed Image Text:**Data Analysis Exercise:** a) **Normality Check:** Are the data normal? Run descriptive statistics in Excel and support your answer. b) **Correlation Analysis:** Show the results of the correlation in Excel and explain what the results may mean. c) **Data Relationship:** Is there absolutely a relationship between this data? Why, why not? d) **Scatter Plot Visualization:** Plot the data on a scatter chart. Does the chart suggest a relationship of the data? e) **Outlier Impact:** Might an outlier have an effect on this data? f) **Outlier Identification and Removal:** If there were an outlier, which data point might be the outlier? If you were to remove the outlier, how would the correlation and the scatter chart be different?
## Exercise: Conducting a Correlation Analysis in Excel ### Instructions Use the following dataset to run a correlation analysis in Excel to explore the relationship between population size and expenditure. ### Dataset | Population | Expenditure | |------------|-------------| | 29 | 127 | | 435 | 214 | | 86 | 133 | | 1090 | 208 | | 219 | 153 | | 503 | 184 | | 47 | 130 | | 3524 | 217 | | 185 | 141 | | 98 | 154 | | 952 | 194 | | 89 | 103 | ### Graphs and Diagrams This table presents two columns: "Population" and "Expenditure." Each row contains information linking a specific population size to a corresponding expenditure. To perform this analysis, enter the data into Excel and use the CORREL function to calculate the correlation coefficient, providing insight into the linear relationship between these two variables. ### Additional Notes - The correlation coefficient ranges from -1 to 1. - A value close to 1 implies a strong positive correlation, whereas a value close to -1 implies a strong negative correlation. - A value near 0 suggests little to no linear correlation between the variables. Following this exercise will enhance your understanding of using Excel for data analysis tasks.
Transcribed Image Text:## Exercise: Conducting a Correlation Analysis in Excel ### Instructions Use the following dataset to run a correlation analysis in Excel to explore the relationship between population size and expenditure. ### Dataset | Population | Expenditure | |------------|-------------| | 29 | 127 | | 435 | 214 | | 86 | 133 | | 1090 | 208 | | 219 | 153 | | 503 | 184 | | 47 | 130 | | 3524 | 217 | | 185 | 141 | | 98 | 154 | | 952 | 194 | | 89 | 103 | ### Graphs and Diagrams This table presents two columns: "Population" and "Expenditure." Each row contains information linking a specific population size to a corresponding expenditure. To perform this analysis, enter the data into Excel and use the CORREL function to calculate the correlation coefficient, providing insight into the linear relationship between these two variables. ### Additional Notes - The correlation coefficient ranges from -1 to 1. - A value close to 1 implies a strong positive correlation, whereas a value close to -1 implies a strong negative correlation. - A value near 0 suggests little to no linear correlation between the variables. Following this exercise will enhance your understanding of using Excel for data analysis tasks.
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