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BU6015 - Business Analytics

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When using regression analysis, the relationship between two variables matters when you are trying to understand __________.

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How many outliers are in the Sales Price chart shown below?

The figure shows a box plot. The vertical axis shows the sales price ranging from $0 to $3,000 in increments of $500. The lower whisker has a value of $19.00. The first quartile has a value of $59.00. The median or the second quartile has a value of $149.00. Inside the box above the second quartile the following is entered: X$624.40. The third quartile has a value of $949.00. The upper whisker has a value of $1,799.00. The outlier above the upper whisker has a value of $2,299.00. The outlier and maximum value is $2,599.00.

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A dashboard with too many visualizations and key performance measures may impair decision making.
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Performing a bank reconciliation is example of the diagnostic analytics of ________.

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The third step in the SOAR analytics model is to Access the data.

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A customer satisfaction survey asks customers to answer the question: How satisfied are you with the company’s customer service? Customers are to select one of the following five choices.

  1. Very Unsatisfied
  2. Unsatisfied
  3. Neutral
  4. Satisfied
  5. Very Satisfied

This is an example of which type of data?

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Which step of the SOAR model most appropriately addresses the skill mentioned by EY’s analytics mindset of “extract, transform and load relevant data”?

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What is the 75th percentile in the chart shown below?

The figure shows a box plot. The vertical axis shows the sales price ranging from $0 to $3,000 in increments of $500. The lower whisker has a value of $19.00. The first quartile has a value of $59.00. The median or the second quartile has a value of $149.00. Inside the box the mean value is X$624.40. The third quartile has a value of $949.00. The upper whisker has a value of $1,799.00. The outlier above the upper whisker has a value of $2,299.00. The outlier and maximum value is $2,599.00.

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What type of distribution has the following relationship between mode, median, and mean?

Mode < Median < Mean

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If you have minimums and maximums that are far away (several standard deviations away from the mean) from the rest of the data observations, medians would be the best measure of central tendency?

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