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A Type I error in the context of a randomized controlled experiment is:
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 movements. They 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?
If you reject a joint null hypothesis using the F-test in a multiple hypothesis setting, then:
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?
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,
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?
Use the accompany image and select the correct answer in the context of a randomized controlled experiment.
PromoLab Ltd. is a small marketing analytics consultancy that works with consumer brands in Aotearoa New Zealand. One of their clients is , 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.
PromoLab Ltd. is a small marketing analytics consultancy that works with consumer brands in Aotearoa New Zealand. One of their clients is , 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?
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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