Suppose the researcher collected data from 430 randomly selected families For each family, the total debt (in $) and the number of hours the television is turned on (TV Hours) per week were recorded The data are stored in file 1TVDEBT xlsx and available in the course website under Assessment Using this data and EXCEL, answer the Parts B, C and D below Part B First, the researcher wishes to use the graphical descriptive methods to present the data for the two variables He suggests using 10 classes such as class intervals 0 6, 6 12, 12 18, for the TV Hours variable and class intervals 0 30000, 30000 60000, 60000 90000, for the Total Debt variable Explain how he could have decided on the number of classes as 10 Use appropriate BIN values to draw histograms for the two variables and comment on the shape of the two distributions (Hint draw the frequency polygon as well) Part C Second, the researcher wishes to use the numerical descriptive measures to summarize the data form a numerical summary report about the data on the two variables the researcher has considered by including the summary measures, mean, median, range, variance, standard deviation, smallest and largest values and the three quartiles, for each variable Use five of the above summary measures to represent the summary information in a box plot for each variable (hand drawn and scanned is OK) Comment on the outliers (if any) Part D Third, the researcher wishes to use graphical descriptive method and a numerical descriptive measure to analyse the strength of the linear relationship between the two variables Use an appropriate plot to show the relationship between variables, Total Debt and TV Hours Compute a measure of the direction and strength of a linear relationship between the two variables Interpret this value Comment on the sociologist's theory that 'people who watch television frequently are exposed to many commercials, which in turn lead them to buy, resulting in increasing debt' Here its the link for the data file https 1drv ms x s AqswQjmPQpq6jxwfnJ5pdN4Yiz7K e KxDBjj Plese provide link for your solved excel file for my reference Thank You

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Suppose the researcher collected data from 430 randomly selected families. For each family, the total debt (in $) and the number of hours the television

Suppose the researcher collected data from 430 randomly selected families. For each family, the total debt (in $) and the number of hours the television is turned-on (TV Hours) per week were recorded. The data are stored in file 1TVDEBT.xlsx and available in the course website under Assessment. Using this data and EXCEL, answer the Parts B, C and D below.

Part B

First, the researcher wishes to use the graphical descriptive methods to present the data for the two variables.

He suggests using 10 classes such as class intervals 0-6, 6-12, 12-18, .... for the TV Hours variable and class intervals 0-30000, 30000-60000, 60000-90000, .... for the Total Debt variable. Explain how he could have decided on the number of classes as 10.
Use appropriate BIN values to draw histograms for the two variables and comment on the shape of the two distributions (Hint: draw the frequency polygon as well).

Part C

Second, the researcher wishes to use the numerical descriptive measures to summarize the data.

form a numerical summary report about the data on the two variables the researcher has considered by including the summary measures, mean, median, range, variance, standard deviation, smallest and largest values and the three quartiles, for each variable.
Use five of the above summary measures to represent the summary information in a box plot for each variable (hand drawn and scanned is OK). Comment on the outliers (if any).

Part D

Third, the researcher wishes to use graphical descriptive method and a numerical descriptive measure to analyse the strength of the linear relationship between the two variables.

Use an appropriate plot to show the relationship between variables, Total Debt and TV Hours.
Compute a measure of the direction and strength of a linear relationship between the two variables. Interpret this value.

Comment on thesociologist's theory that 'people who watch television frequently are exposed to many commercials, which in turn lead them to buy, resulting in increasing debt'

Here its the link for the data file.

https://1drv.ms/x/s!AqswQjmPQpq6jxwfnJ5pdN4Yiz7K?e=KxDBjj

Plese provide link for your solved excel file for my reference. Thank You.