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BUSAN205-25A (HAM), BUSAN573-25A (HAM) - Business Applications of Data Analytics & ECONS507-25A (HAM) - Quantitative Methods for Business Analysis

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 A Type I error in the context of a randomized controlled experiment is: 

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HBO Succession Poster

Pop Culture & Analytics - Background: Succession is a hit HBO drama series that follows the dysfunctional Roy family, owners of a global media empire called Waystar Royco. The show revolves around intense family power struggles, backstabbing boardroom politics, and headline-grabbing scandals. Logan Roy, the aging patriarch, constantly keeps his children guessing about who will succeed him. Each episode is filled with dramatic leadership shakeups, market-moving announcements, and viral moments that send the internet and sometimes the stock market into a frenzy. 

Waystar’s data analytics team recently observed a strong correlation between the number of tweets mentioning the company and its daily stock price movementsThey were initially excited by the idea that social media buzz might be driving investor interest. But as they dug deeper, they noticed that these spikes in both tweets and stock price tended to follow major announcements, leadership changes, or company scandals. Let’s now apply what we’ve learned about interpreting relationships in data using this scenario.

Which of the following best explains the observed correlation between tweets and stock price?

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If you reject a joint null hypothesis using the F-test in a multiple hypothesis setting, then:

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The following regression model was estimated using Excel:

GPAᵢ = α + β₁·Commerceᵢ + β₂·Artsᵢ + β₃·Scienceᵢ + εᵢ

Where:

  • Commerceᵢ = 1 if the student majors in Commerce, 0 otherwise

  • Artsᵢ = 1 if the student majors in Arts, 0 otherwise

  • Scienceᵢ = 1 if the student majors in Science, 0 otherwise

You receive the following Excel regression output, which includes #NUM! errors for the coefficient estimates and p-values of the Arts and Science variables. Which of the following best explains this? 

Dummy Variable Trap

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Data were collected on company bonuses (in $), the number of employees at the company and whether or not the employees were unionized (1 = yes; 0 = no) on a sample of 30 randomly selected observations. 

Using the accompany Excel output; we can conclude that at  α = 0.05, 

Union and Productivity

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Data were collected on company bonuses (in $), the number of employees at the company and whether or not the employees were unionized (1 = yes; 0 = no) on a sample of 30 randomly selected observations. Using the accompany Excel output, which of the statement(s) is correct? 

Dummy Variable Union and Productivity

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Use the accompany image and select the correct answer in the context of a randomized controlled experiment. RCT

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PromoLab Ltd.

 is a small marketing

analytics consultancy that works with consumer brands in Aotearoa New Zealand.

One of their clients is 

Frizzle Beverages

, a fast-growing sparkling

water company.

Frizzle ran a month-long  experiment to test whether

advertising had a greater effect on sales during the holiday

season compared to regular weeks. The company tracked weekly advertising

budgets (in $1,000s) and corresponding sales revenue (in $1,000s) over 50

different store-weeks. They flagged each week as either a holiday (1)

or non-holiday (0) period. 

To estimate the impact, PromoLab estimated the following

regression model : 

Sales = β₀ + β₁ × AdBudget + β₂ × Holiday + β₃ ×

(AdBudget × Holiday) + ε

where: Sales = total weekly sales revenue (in

$1,000s); AdBudget  = weekly advertising budget (in

$1,000s); Holiday = dummy variable: 1 if holiday week, 0 otherwise

and AdBudget × Holiday = interaction variables of advertising budget

and holiday dummy

The regression result is presented in the accompany Excel output below. 

AdverstingXHoliday Dummy

Suppose Frizzle plans to spend $15,000 on advertising during a holiday week. What is the predicted sales revenue?

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PromoLab Ltd.

 is a small marketing

analytics consultancy that works with consumer brands in Aotearoa New Zealand.

One of their clients is 

Frizzle Beverages

, a fast-growing sparkling

water company. 

Frizzle ran a month-long  experiment to test whether

advertising had a greater effect on sales during the holiday

season compared to regular weeks. The company tracked weekly advertising

budgets (in $1,000s) and corresponding sales revenue (in $1,000s) over 50

different store-weeks. They flagged each week as either a holiday (1)

or non-holiday (0) period. 

To estimate the impact, PromoLab estimated the following

regression model : 

Sales = β₀ + β₁ × AdBudget + β₂ × Holiday + β₃ ×

(AdBudget × Holiday) + ε

where: Sales = total weekly sales revenue (in

$1,000s); AdBudget  = weekly advertising budget (in

$1,000s); Holiday = dummy variable: 1 if holiday week, 0 otherwise

and AdBudget × Holiday = interaction variables of advertising budget

and holiday dummy.

The regression result is presented in the accompany Excel output below. Which of the following best describes how the model allows different advertising effectiveness across time periods?

AdverstingXHoliday Dummy

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The following simple model is used to determine the annual savings of an individual on the basis of his annual income and education.

Savings = α + β1Edu + β2Inc + ε

 The variable ‘Edu’ takes a value of 1 if the person is educated, and 0 otherwise;  and the variable ‘Inc’ measures the income of the individual (in $).

​Refer to the model above. If β1 > 0, _____.

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