CSE 6040X COMPUTING FOR DATA
ANALYSIS UPDATED ACTUAL QUESTIONS
AND CORRECT ANSWERS
◉ Auditing Formulas in Excel
Answer: Shows what goes into a formula (trace precedents)
◉ Examples of Charts in Excel
Answer: Bar graphs, pie charts, line charts
◉ Sparklines in Excel
Answer: Miniature graph in one cell
◉ Vlookup
Answer: Searches vertically down a column
◉ Hlookup
Answer: Searches horizontally down a row
◉ Sorting in Excel
Answer: Puts data in an order
,◉ Filters in Excel
Answer: Selects a subset based on a criteria
◉ Pivot Tables
Answer: Summarizes a large amount of data into a table
◉ Examples of Descriptive Statistics
Answer: Mean, Mode, Median, Standard Deviation
◉ Correlation
Answer: Strength & Direction (-1 to +1)
Strong: far from zero
Weak: close to zero
Sign gives direction (- & +)
◉ Linear Regression
Answer: Magnitude of change & direction
◉ Exponential Regression
Answer: Compounds (Ex: compound interest)
◉ Power Regression
, Answer: Learning curve and economies of scale
◉ Moving Average
Answer: Shows seasonality
◉ Multiple Regression
Answer: More than one X variable
◉ Multiple Regression Order
Answer: Check significance of F first, then R squared, then P-
values of the coefficients
◉ Significance of F
Answer: If less than 0.05, interpret
If greater than 0.05, DON'T INTERPRET
Don't even interpret coefficients, even if coefficients are
significant
◉ R Squared Examples
Answer: Ex: 12.34% of the change in y can be explained by the
change in x
Ex: 68.82% of the change in factory cost can be explained by the
change
ANALYSIS UPDATED ACTUAL QUESTIONS
AND CORRECT ANSWERS
◉ Auditing Formulas in Excel
Answer: Shows what goes into a formula (trace precedents)
◉ Examples of Charts in Excel
Answer: Bar graphs, pie charts, line charts
◉ Sparklines in Excel
Answer: Miniature graph in one cell
◉ Vlookup
Answer: Searches vertically down a column
◉ Hlookup
Answer: Searches horizontally down a row
◉ Sorting in Excel
Answer: Puts data in an order
,◉ Filters in Excel
Answer: Selects a subset based on a criteria
◉ Pivot Tables
Answer: Summarizes a large amount of data into a table
◉ Examples of Descriptive Statistics
Answer: Mean, Mode, Median, Standard Deviation
◉ Correlation
Answer: Strength & Direction (-1 to +1)
Strong: far from zero
Weak: close to zero
Sign gives direction (- & +)
◉ Linear Regression
Answer: Magnitude of change & direction
◉ Exponential Regression
Answer: Compounds (Ex: compound interest)
◉ Power Regression
, Answer: Learning curve and economies of scale
◉ Moving Average
Answer: Shows seasonality
◉ Multiple Regression
Answer: More than one X variable
◉ Multiple Regression Order
Answer: Check significance of F first, then R squared, then P-
values of the coefficients
◉ Significance of F
Answer: If less than 0.05, interpret
If greater than 0.05, DON'T INTERPRET
Don't even interpret coefficients, even if coefficients are
significant
◉ R Squared Examples
Answer: Ex: 12.34% of the change in y can be explained by the
change in x
Ex: 68.82% of the change in factory cost can be explained by the
change